Awan LLM
commited on
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,45 @@
|
|
1 |
-
---
|
2 |
-
license: llama3
|
3 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: llama3
|
3 |
+
---
|
4 |
+
Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
|
5 |
+
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
|
6 |
+
|
7 |
+
|
8 |
+
Base model: https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
|
9 |
+
|
10 |
+
|
11 |
+
SFT fine tune of Meta Llama 3 8B Instruct Abliterated v3 by Failspy using an improved Dolphin and WizardLM dataset intended to remove GPT-isms and make the model follow instructions more exactly while paying attention to details better.
|
12 |
+
|
13 |
+
Since it is based on the Abliterated version of Llama 3 8B Instruct it should naturally not refuse to answer in the first place and this fine tuning should make it comply even better.
|
14 |
+
|
15 |
+
|
16 |
+
We also have it up on our site https://awanllm.com for anyone to try!
|
17 |
+
|
18 |
+
|
19 |
+
Training:
|
20 |
+
- Full 8192 sequence length
|
21 |
+
- Training duration is around 2.5 days on an RTX 4090
|
22 |
+
- 1 epoch training with a massive dataset for minimized repetition sickness.
|
23 |
+
- Using 4-bit loading and Qlora 64-rank 64-alpha resulting in ~2% trainable weights.
|
24 |
+
|
25 |
+
|
26 |
+
Llama 3 Instruct format:
|
27 |
+
```
|
28 |
+
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
|
29 |
+
|
30 |
+
{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
|
31 |
+
|
32 |
+
{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
33 |
+
|
34 |
+
{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
|
35 |
+
|
36 |
+
{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
37 |
+
```
|
38 |
+
|
39 |
+
|
40 |
+
Quants:
|
41 |
+
|
42 |
+
FP16: https://huggingface.co/AwanLLM/Awanllm-Llama-3-8B-Dolfin-v1.0
|
43 |
+
|
44 |
+
GGUF: https://huggingface.co/AwanLLM/Awanllm-Llama-3-8B-Dolfin-v1.0-GGUF
|
45 |
+
|