osanseviero_-_mistral-instruct-moe-experimental-gguf

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mistral-instruct-moe-experimental - GGUF

• Model creator: https://huggingface.co/osanseviero/
• Original model: https://huggingface.co/osanseviero/mistral-instruct-moe-experimental/

Original model description:

license: apache-2.0 tags:

• mergekit
• merge
• moe base_model:
• mistralai/Mistral-7B-Instruct-v0.2
• mistralai/Mistral-7B-Instruct-v0.1 model-index:
• name: mistral-instruct-moe-experimental 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: 61.01 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=osanseviero/mistral-instruct-moe-experimental 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: 81.55 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=osanseviero/mistral-instruct-moe-experimental 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: 58.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=osanseviero/mistral-instruct-moe-experimental 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: 60.4 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=osanseviero/mistral-instruct-moe-experimental 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: 76.09 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=osanseviero/mistral-instruct-moe-experimental 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: 31.08 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=osanseviero/mistral-instruct-moe-experimental name: Open LLM Leaderboard

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Mistral Instruct MoE experimental

This is a merge of pre-trained language models created using mergekit using the mixtral branch.

This is an experimental model and has nothing to do with Mixtral. Mixtral is not a merge of models per se, but a transformer with MoE layers learned during training

This uses a random gate, so I expect not great results. We'll see!

Merge Details

Merge Method

This model was merged using the MoE merge method.

Models Merged

The following models were included in the merge:

• mistralai/Mistral-7B-Instruct-v0.2
• mistralai/Mistral-7B-Instruct-v0.1

Configuration

The following YAML configuration was used to produce this model:

base_model: mistralai/Mistral-7B-Instruct-v0.2
gate_mode: random
dtype: bfloat16
experts:
  - source_model: mistralai/Mistral-7B-Instruct-v0.2
    positive_prompts: [""]
  - source_model: mistralai/Mistral-7B-Instruct-v0.1
    positive_prompts: [""]

Open LLM Leaderboard Evaluation Results

Detailed results can be found here