|
--- |
|
license: other |
|
license_name: databricks-open-model-license |
|
license_link: https://www.databricks.com/legal/open-model-license |
|
base_model: databricks/dbrx-base |
|
tags: |
|
- generated_from_trainer |
|
- axolotl |
|
datasets: |
|
- cognitivecomputations/Dolphin-2.9 |
|
- teknium/OpenHermes-2.5 |
|
- m-a-p/CodeFeedback-Filtered-Instruction |
|
- cognitivecomputations/dolphin-coder |
|
- cognitivecomputations/samantha-data |
|
- microsoft/orca-math-word-problems-200k |
|
- Locutusque/function-calling-chatml |
|
- internlm/Agent-FLAN |
|
--- |
|
# GGUF fix |
|
This is the same model as [cognitivecomputations/dolphin-2.9.1-dbrx](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-dbrx), but with [gguf fixes made by Kenjoyer](https://huggingface.co/Kenjoyer/dolphin-2.9.1-dbrx-llamacppfix) applied(thanks a lot!). This model can be converted into gguf using llama.cpp. |
|
|
|
# Benchmarks and personal opinion |
|
### NeoEvalPlusN_benchmark |
|
[My meme benchmark.](https://huggingface.co/datasets/ChuckMcSneed/NeoEvalPlusN_benchmark) |
|
|
|
|Name |Quant|Size |B |C |D |S |P |total|BCD|SP | |
|
|---------------------------------------------|-----|------|---|---|---|----|----|-----|---|----| |
|
|cognitivecomputations/dolphin-2.9.1-dbrx |Q6_K |16x12B|3 |1 |3 |4 |6 |17 |7 |10 | |
|
|cognitivecomputations/dolphin-2.9.1-qwen-110b|Q6_K |110B |0 |1 |3 |3.75|4.25|12 |4 |8 | |
|
|databricks/dbrx-instruct |Q6_K |16x12B|0 |0 |0 |6.5 |4.5 |11 |0 |11 | |
|
|cognitivecomputations/dolphin-2.2-70b |Q6_K |70B |0 |1 |1 |4.5 |4.5 |11 |2 |9 | |
|
|Maximum |n/a |n/a |3 |2 |3 |8 |6 |22 |8 |14 | |
|
|
|
More compliant than the official instruct tune(BCD). To my surprise, performed much better overall than qwen-110b tuned on the same dataset. |
|
Wrote 6 perfect poems(P column), which is **very** unusual. |
|
Only models from goliath family and more recent llama-3-70b-instruct could do that. |
|
Stylized writing tests(S column) were a bit disappointing, Dolphin is not famous for that. |
|
In practical use, did perform better than the official tune. Still knows a lot, just like the official tune. |
|
Writing is not great, wouldn't use it over Command-r+, unless I need to know some obscure facts. Feels like quantization hurts it a lot more than dense models. |
|
|
|
Verdict: Meh, just like the other dolphins. Eric, no disrespect, but you need to get better datasets. GPTslop really hurts practical performance of the model. |
|
|
|
# Original model card below |
|
|
|
# Dolphin 2.9.1 DBRX 🐬 |
|
|
|
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations |
|
|
|
[](https://discord.gg/cognitivecomputations) |
|
Discord: https://discord.gg/cognitivecomputations |
|
|
|
<img src="/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F63111b2d88942700629f5771%2FldkN1J0WIDQwU4vutGYiD.png%26quot%3B%3C%2Fspan%3E width="600" /> |
|
|
|
Our appreciation for the sponsors of Dolphin 2.9.1: |
|
- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node |
|
|
|
This model is based on [databricks/dbrx-base](https://huggingface.co/databricks/dbrx-base), and is governed by [databricks-open-model-license](https://www.databricks.com/legal/open-model-license) |
|
|
|
The base model has 32k context, and the full-weight fine-tuning was with 4k sequence length. |
|
|
|
This model was trained FFT on parameters selected by [Laser Scanner](https://github.com/cognitivecomputations/laserRMT/blob/main/laser_scanner.py), using ChatML prompt template format. |
|
|
|
example: |
|
|
|
``` |
|
<|im_start|>system |
|
You are Dolphin, a helpful AI assistant.<|im_end|> |
|
<|im_start|>user |
|
{prompt}<|im_end|> |
|
<|im_start|>assistant |
|
|
|
``` |
|
|
|
Dolphin-2.9.1 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. |
|
|
|
Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly. |
|
|
|
Dolphin is licensed according to Meta's Llama license. We grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3 license. Dolphin was trained on data generated from GPT4, among other models. |
|
|
|
## Evals |
|
|
|
%3C%2Fspan%3E%3C!-- HTML_TAG_END --> |
|
|
|
## Training |
|
|
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
<details><summary>See axolotl config</summary> |
|
|
|
axolotl version: `0.4.0` |
|
```yaml |
|
base_model: /workspace/axolotl/dbrx-checkpoint |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
trust_remote_code: true |
|
|
|
load_in_8bit: false |
|
# load_in_4bit: true |
|
strict: false |
|
|
|
# adapter: qlora |
|
# lora_modules_to_save: [embed_tokens, lm_head] |
|
|
|
# lora_r: 32 |
|
# lora_alpha: 16 |
|
# lora_dropout: 0.05 |
|
# lora_target_linear: false |
|
# lora_fan_in_fan_out: |
|
|
|
datasets: |
|
- path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
# - path: /workspace/datasets/dolphin-2.9/Ultrachat200kunfiltered.jsonl |
|
# type: sharegpt |
|
# conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
# - path: /workspace/datasets/dolphin-2.9/SystemConversations.jsonl |
|
# type: sharegpt |
|
# conversation: chatml |
|
|
|
chat_template: chatml |
|
|
|
unfrozen_parameters: |
|
- ^lm_head.weight$ |
|
# ffn.experts.mlp_experts.0.v1 layers |
|
- transformer.blocks.30.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.15.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.22.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.0.v1 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.0.v1 |
|
# ffn.experts.mlp_experts.0.w1 layers |
|
- transformer.blocks.7.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.0.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.0.w1 |
|
# ffn.experts.mlp_experts.0.w2 layers |
|
- transformer.blocks.25.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.22.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.0.w2 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.0.w2 |
|
# ffn.experts.mlp_experts.1.v1 layers |
|
- transformer.blocks.27.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.15.ffn.experts.mlp_experts.1.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.1.v1 |
|
# ffn.experts.mlp_experts.1.w1 layers |
|
- transformer.blocks.0.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.1.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.1.w1 |
|
# ffn.experts.mlp_experts.1.w2 layers |
|
- transformer.blocks.25.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.1.w2 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.1.w2 |
|
# ffn.experts.mlp_experts.10.v1 layers |
|
- transformer.blocks.28.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.36.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.10.v1 |
|
- transformer.blocks.35.ffn.experts.mlp_experts.10.v1 |
|
# ffn.experts.mlp_experts.10.w1 layers |
|
- transformer.blocks.24.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.10.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.10.w1 |
|
# ffn.experts.mlp_experts.10.w2 layers |
|
- transformer.blocks.24.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.10.w2 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.10.w2 |
|
# ffn.experts.mlp_experts.11.w1 layers |
|
- transformer.blocks.6.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.11.w1 |
|
- transformer.blocks.13.ffn.experts.mlp_experts.11.w1 |
|
# ffn.experts.mlp_experts.11.w2 layers |
|
- transformer.blocks.27.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.22.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.11.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.11.w2 |
|
# ffn.experts.mlp_experts.12.v1 layers |
|
- transformer.blocks.30.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.12.v1 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.12.v1 |
|
# ffn.experts.mlp_experts.12.w1 layers |
|
- transformer.blocks.8.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.17.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.12.w1 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.12.w1 |
|
# ffn.experts.mlp_experts.12.w2 layers |
|
- transformer.blocks.6.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.12.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.12.w2 |
|
# ffn.experts.mlp_experts.13.v1 layers |
|
- transformer.blocks.31.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.11.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.13.v1 |
|
- transformer.blocks.36.ffn.experts.mlp_experts.13.v1 |
|
# ffn.experts.mlp_experts.13.w1 layers |
|
- transformer.blocks.4.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.13.w1 |
|
- transformer.blocks.11.ffn.experts.mlp_experts.13.w1 |
|
# ffn.experts.mlp_experts.13.w2 layers |
|
- transformer.blocks.24.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.13.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.13.w2 |
|
# ffn.experts.mlp_experts.14.v1 layers |
|
- transformer.blocks.28.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.35.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.15.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.11.ffn.experts.mlp_experts.14.v1 |
|
- transformer.blocks.22.ffn.experts.mlp_experts.14.v1 |
|
# ffn.experts.mlp_experts.14.w1 layers |
|
- transformer.blocks.8.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.13.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.14.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.14.w1 |
|
# ffn.experts.mlp_experts.14.w2 layers |
|
- transformer.blocks.26.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.14.w2 |
|
- transformer.blocks.22.ffn.experts.mlp_experts.14.w2 |
|
# ffn.experts.mlp_experts.15.v1 layers |
|
- transformer.blocks.33.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.17.ffn.experts.mlp_experts.15.v1 |
|
- transformer.blocks.15.ffn.experts.mlp_experts.15.v1 |
|
# ffn.experts.mlp_experts.15.w1 layers |
|
- transformer.blocks.6.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.14.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.15.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.15.w1 |
|
# ffn.experts.mlp_experts.15.w2 layers |
|
- transformer.blocks.28.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.15.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.15.w2 |
|
# ffn.experts.mlp_experts.2.v1 layers |
|
- transformer.blocks.31.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.35.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.2.v1 |
|
- transformer.blocks.15.ffn.experts.mlp_experts.2.v1 |
|
# ffn.experts.mlp_experts.2.w1 layers |
|
- transformer.blocks.7.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.2.w1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.2.w1 |
|
# ffn.experts.mlp_experts.2.w2 layers |
|
- transformer.blocks.26.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.2.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.2.w2 |
|
# ffn.experts.mlp_experts.3.v1 layers |
|
- transformer.blocks.28.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.36.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.14.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.3.v1 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.3.v1 |
|
# ffn.experts.mlp_experts.3.w1 layers |
|
- transformer.blocks.7.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.3.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.3.w1 |
|
# ffn.experts.mlp_experts.3.w2 layers |
|
- transformer.blocks.28.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.21.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.3.w2 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.3.w2 |
|
# ffn.experts.mlp_experts.4.v1 layers |
|
- transformer.blocks.34.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.14.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.4.v1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.4.v1 |
|
# ffn.experts.mlp_experts.4.w1 layers |
|
- transformer.blocks.6.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.14.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.4.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.4.w1 |
|
# ffn.experts.mlp_experts.4.w2 layers |
|
- transformer.blocks.25.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.36.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.4.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.4.w2 |
|
# ffn.experts.mlp_experts.5.v1 layers |
|
- transformer.blocks.35.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.5.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.5.v1 |
|
# ffn.experts.mlp_experts.5.w1 layers |
|
- transformer.blocks.0.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.12.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.5.w1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.5.w1 |
|
# ffn.experts.mlp_experts.5.w2 layers |
|
- transformer.blocks.26.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.5.w2 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.5.w2 |
|
# ffn.experts.mlp_experts.6.v1 layers |
|
- transformer.blocks.34.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.35.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.15.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.6.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.6.v1 |
|
# ffn.experts.mlp_experts.6.w1 layers |
|
- transformer.blocks.0.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.6.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.6.w1 |
|
# ffn.experts.mlp_experts.6.w2 layers |
|
- transformer.blocks.24.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.26.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.6.w2 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.6.w2 |
|
# ffn.experts.mlp_experts.7.v1 layers |
|
- transformer.blocks.27.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.11.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.12.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.7.v1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.7.v1 |
|
# ffn.experts.mlp_experts.7.w1 layers |
|
- transformer.blocks.12.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.10.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.7.w1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.7.w1 |
|
# ffn.experts.mlp_experts.7.w2 layers |
|
- transformer.blocks.23.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.5.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.7.w2 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.7.w2 |
|
# ffn.experts.mlp_experts.8.v1 layers |
|
- transformer.blocks.30.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.20.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.8.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.8.v1 |
|
# ffn.experts.mlp_experts.8.w1 layers |
|
- transformer.blocks.7.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.0.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.8.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.8.w1 |
|
# ffn.experts.mlp_experts.8.w2 layers |
|
- transformer.blocks.32.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.3.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.23.ffn.experts.mlp_experts.8.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.8.w2 |
|
# ffn.experts.mlp_experts.9.v1 layers |
|
- transformer.blocks.31.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.14.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.32.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.9.v1 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.9.v1 |
|
# ffn.experts.mlp_experts.9.w1 layers |
|
- transformer.blocks.7.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.1.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.9.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.12.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.4.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.19.ffn.experts.mlp_experts.9.w1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.9.w1 |
|
# ffn.experts.mlp_experts.9.w2 layers |
|
- transformer.blocks.26.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.25.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.31.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.29.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.34.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.2.ffn.experts.mlp_experts.9.w2 |
|
- transformer.blocks.33.ffn.experts.mlp_experts.9.w2 |
|
# ffn.router.layer layers |
|
- transformer.blocks.2.ffn.router.layer |
|
- transformer.blocks.3.ffn.router.layer |
|
- transformer.blocks.4.ffn.router.layer |
|
- transformer.blocks.5.ffn.router.layer |
|
- transformer.blocks.6.ffn.router.layer |
|
- transformer.blocks.7.ffn.router.layer |
|
- transformer.blocks.8.ffn.router.layer |
|
- transformer.blocks.9.ffn.router.layer |
|
- transformer.blocks.10.ffn.router.layer |
|
- transformer.blocks.11.ffn.router.layer |
|
# norm_attn_norm.attn.Wqkv layers |
|
- transformer.blocks.16.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.15.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.11.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.14.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.12.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.20.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.10.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.9.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.19.norm_attn_norm.attn.Wqkv |
|
- transformer.blocks.18.norm_attn_norm.attn.Wqkv |
|
# norm_attn_norm.attn.out_proj layers |
|
- transformer.blocks.1.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.18.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.2.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.16.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.0.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.39.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.23.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.8.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.24.norm_attn_norm.attn.out_proj |
|
- transformer.blocks.19.norm_attn_norm.attn.out_proj |
|
# norm_attn_norm.norm_1 layers |
|
- transformer.blocks.0.norm_attn_norm.norm_1 |
|
- transformer.blocks.1.norm_attn_norm.norm_1 |
|
- transformer.blocks.2.norm_attn_norm.norm_1 |
|
- transformer.blocks.3.norm_attn_norm.norm_1 |
|
- transformer.blocks.4.norm_attn_norm.norm_1 |
|
- transformer.blocks.5.norm_attn_norm.norm_1 |
|
- transformer.blocks.6.norm_attn_norm.norm_1 |
|
- transformer.blocks.7.norm_attn_norm.norm_1 |
|
- transformer.blocks.8.norm_attn_norm.norm_1 |
|
- transformer.blocks.9.norm_attn_norm.norm_1 |
|
# norm_attn_norm.norm_2 layers |
|
- transformer.blocks.0.norm_attn_norm.norm_2 |
|
- transformer.blocks.1.norm_attn_norm.norm_2 |
|
- transformer.blocks.2.norm_attn_norm.norm_2 |
|
- transformer.blocks.3.norm_attn_norm.norm_2 |
|
- transformer.blocks.4.norm_attn_norm.norm_2 |
|
- transformer.blocks.5.norm_attn_norm.norm_2 |
|
- transformer.blocks.6.norm_attn_norm.norm_2 |
|
- transformer.blocks.7.norm_attn_norm.norm_2 |
|
- transformer.blocks.8.norm_attn_norm.norm_2 |
|
- transformer.blocks.9.norm_attn_norm.norm_2 |
|
# transformer.norm_f layers |
|
# transformer.wte layers |
|
# ffn.experts.mlp_experts.11.v1 layers |
|
- transformer.blocks.29.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.27.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.30.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.28.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.22.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.7.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.24.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.8.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.6.ffn.experts.mlp_experts.11.v1 |
|
- transformer.blocks.12.ffn.experts.mlp_experts.11.v1 |
|
|
|
|
|
|
|
dataset_prepared_path: dbrx2 |
|
val_set_size: 0.01 |
|
output_dir: ./out |
|
|
|
sequence_len: 4096 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
wandb_project: dolphin-2.9-Dbrx |
|
wandb_watch: |
|
wandb_run_id: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 8 |
|
micro_batch_size: 1 |
|
num_epochs: 1 |
|
optimizer: paged_adamw_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 1e-5 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: true |
|
|
|
gradient_checkpointing: true |
|
gradient_checkpointing_kwargs: |
|
use_reentrant: false |
|
early_stopping_patience: |
|
# resume_from_checkpoint: /workspace/axolotl/dbrx-checkpoint |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 10 |
|
evals_per_epoch: 4 |
|
eval_table_size: |
|
saves_per_epoch: 4 |
|
save_total_limit: 2 |
|
save_steps: |
|
debug: |
|
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json |
|
weight_decay: 0.05 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
bos_token: "<|endoftext|>" |
|
eos_token: "<|im_end|>" |
|
pad_token: "<|pad|>" |
|
unk_token: "<|endoftext|>" |
|
tokens: |
|
- "<|im_start|>" |
|
- "<|im_end|>" |
|
|
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# out |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4336 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.4009 | 0.0 | 1 | 0.4328 | |
|
| 0.413 | 0.25 | 587 | 0.4408 | |
|
| 0.3626 | 0.5 | 1174 | 0.4368 | |
|
| 0.3896 | 0.75 | 1761 | 0.4336 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0.dev0 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
