# Felladrin/Llama-68M-Chat-v1-GGUF

Quantized GGUF model files for [Llama-68M-Chat-v1](https://huggingface.co/Felladrin/Llama-68M-Chat-v1) from [Felladrin](https://huggingface.co/Felladrin)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [llama-68m-chat-v1.fp16.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.fp16.gguf) | fp16 | 136.79 MB  |
| [llama-68m-chat-v1.q2_k.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q2_k.gguf) | q2_k | 35.88 MB  |
| [llama-68m-chat-v1.q3_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q3_k_m.gguf) | q3_k_m | 40.66 MB  |
| [llama-68m-chat-v1.q4_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q4_k_m.gguf) | q4_k_m | 46.10 MB  |
| [llama-68m-chat-v1.q5_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q5_k_m.gguf) | q5_k_m | 51.16 MB  |
| [llama-68m-chat-v1.q6_k.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q6_k.gguf) | q6_k | 56.54 MB  |
| [llama-68m-chat-v1.q8_0.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q8_0.gguf) | q8_0 | 73.02 MB  |



## Original Model Card:
# A Llama Chat Model of 68M Parameters

- Base model: [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m)
- Datasets:
  - [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa)
  - [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k)
  - [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered)
  - [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3)
  - [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
  - [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated)
  - [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly)
  - [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
  - [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs)
- Availability in other ML formats:
  - ONNX: [Felladrin/onnx-Llama-68M-Chat-v1](https://huggingface.co/Felladrin/onnx-Llama-68M-Chat-v1)

## Recommended Prompt Format

```
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant
```

## Recommended Inference Parameters

```yml
penalty_alpha: 0.5
top_k: 4
```
{"language": ["en"], "license": "apache-2.0", "tags": ["text-generation", "gguf", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0"], "datasets": ["THUDM/webglm-qa", "databricks/databricks-dolly-15k", "cognitivecomputations/wizard_vicuna_70k_unfiltered", "totally-not-an-llm/EverythingLM-data-V3", "Amod/mental_health_counseling_conversations", "sablo/oasst2_curated", "starfishmedical/webGPT_x_dolly", "Open-Orca/OpenOrca", "mlabonne/chatml_dpo_pairs"], "model_name": "Llama-68M-Chat-v1", "base_model": "Felladrin/Llama-68M-Chat-v1", "inference": false, "model_creator": "Felladrin", "pipeline_tag": "text-generation", "quantized_by": "afrideva", "widget": [{"text": "<|im_start|>system\nYou are a knowledgeable assistant. Help the user as much as you can.<|im_end|>\n<|im_start|>user\nHow to become healthier?<|im_end|>\n<|im_start|>assistant"}, {"text": "<|im_start|>system\nYou are a career counselor. The user will provide you with an individual looking for guidance in their professional life, and your task is to assist them in determining what careers they are most suited for based on their skills, interests, and experience. You should also conduct research into the various options available, explain the job market trends in different industries, and advice on which qualifications would be beneficial for pursuing particular fields.<|im_end|>\n<|im_start|>user\nHeya!<|im_end|>\n<|im_start|>assistant\nHi! How may I help you?<|im_end|>\n<|im_start|>user\nI am interested in developing a career in software engineering. What would you recommend me to do?<|im_end|>\n<|im_start|>assistant"}, {"text": "<|im_start|>system\nYou are a helpful assistant who provides concise responses.<|im_end|>\n<|im_start|>user\nHi!<|im_end|>\n<|im_start|>assistant\nHello there! How may I help you?<|im_end|>\n<|im_start|>user\nI need to build a simple website. Where should I start learning about web development?<|im_end|>\n<|im_start|>assistant"}, {"text": "<|im_start|>system\nYou are a very creative assistant. User will give you a task, which you should complete with all your knowledge.<|im_end|>\n<|im_start|>user\nWrite the background story of an RPG game about wizards and dragons in a sci-fi world.<|im_end|>\n<|im_start|>assistant"}]}
gguf text-generation ggml quantized q2_k q3_k_m q4_k_m q5_k_m q6_k q8_0 en dataset:THUDM/webglm-qa dataset:databricks/databricks-dolly-15k dataset:cognitivecomputations/wizard_vicuna_70k_unfiltered dataset:totally-not-an-llm/EverythingLM-data-V3 dataset:Amod/mental_health_counseling_conversations dataset:sablo/oasst2_curated dataset:starfishmedical/webGPT_x_dolly dataset:Open-Orca/OpenOrca dataset:mlabonne/chatml_dpo_pairs base_model:Felladrin/Llama-68M-Chat-v1 license:apache-2.0 region:us