|
--- |
|
license: apache-2.0 |
|
tags: |
|
- merge |
|
--- |
|
|
|
# mistral-7b-merged-dare |
|
|
|
mistral-7b-merged-dare is a merge of the following models: |
|
|
|
|
|
## 🧩 Configuration |
|
|
|
```yaml |
|
models: |
|
- model: mistralai/Mistral-7B-v0.1 |
|
- model: samir-fama/SamirGPT-v1 |
|
parameters: |
|
density: 0.53 |
|
weight: 0.4 |
|
- model: abacusai/Slerp-CM-mist-dpo |
|
parameters: |
|
density: 0.53 |
|
weight: 0.3 |
|
- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2 |
|
parameters: |
|
density: 0.53 |
|
weight: 0.3 |
|
merge_method: dare_ties |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
parameters: |
|
int8_mask: true |
|
dtype: bfloat16 |
|
|
|
``` |
|
|
|
## 💻 Usage |
|
```python |
|
!pip install -qU transformers bitsandbytes accelerate |
|
|
|
from transformers import AutoTokenizer |
|
import transformers |
|
import torch |
|
|
|
model = "mayacinka/West-Ramen-7Bx4" |
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model) |
|
pipeline = transformers.pipeline( |
|
"text-generation", |
|
model=model, |
|
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, |
|
) |
|
|
|
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}] |
|
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
|
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
|
print(outputs[0]["generated_text"]) |
|
``` |
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__mistral-7b-merged-dare) |
|
|
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Avg. |73.46| |
|
|AI2 Reasoning Challenge (25-Shot)|69.71| |
|
|HellaSwag (10-Shot) |87.05| |
|
|MMLU (5-Shot) |65.07| |
|
|TruthfulQA (0-shot) |63.24| |
|
|Winogrande (5-shot) |81.61| |
|
|GSM8k (5-shot) |73.01| |
|
|
