--- license: apache-2.0 tags: - merge - mergekit - mistral - Intel/neural-chat-7b-v3-3 - cognitivecomputations/samantha-mistral-7b base_model: - Intel/neural-chat-7b-v3-3 - cognitivecomputations/samantha-mistral-7b model-index: - name: SamChat results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 62.2 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fhai50032/SamChat name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 81.88 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fhai50032/SamChat name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 59.7 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fhai50032/SamChat name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 52.89 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fhai50032/SamChat name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 72.14 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fhai50032/SamChat name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 41.24 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fhai50032/SamChat name: Open LLM Leaderboard --- # SamChat SamChat is a merge of the following models * [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3) * [cognitivecomputations/samantha-mistral-7b](https://huggingface.co/cognitivecomputations/samantha-mistral-7b) ## 🧩 Configuration ```yaml models: - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo # no params for base model - model: Intel/neural-chat-7b-v3-3 parameters: weight: 0.55 density: 0.46 - model: cognitivecomputations/samantha-mistral-7b parameters: weight: 0.64 density: 0.55 merge_method: dare_ties base_model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo parameters: normalize: true int8_mask: true dtype: float16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "fhai50032/SamChat" messages = [{"role": "user", "content": "What is a large language model?"}] tokenizer = AutoTokenizer.from_pretrained(model) prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) pipeline = transformers.pipeline( "text-generation", model=model, torch_dtype=torch.float16, device_map="auto", ) 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_fhai50032__SamChat) | Metric |Value| |---------------------------------|----:| |Avg. |61.68| |AI2 Reasoning Challenge (25-Shot)|62.20| |HellaSwag (10-Shot) |81.88| |MMLU (5-Shot) |59.70| |TruthfulQA (0-shot) |52.89| |Winogrande (5-shot) |72.14| |GSM8k (5-shot) |41.24|