Edit model card

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:

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

Metric Value
Avg. 61.39
AI2 Reasoning Challenge (25-Shot) 61.01
HellaSwag (10-Shot) 81.55
MMLU (5-Shot) 58.22
TruthfulQA (0-shot) 60.40
Winogrande (5-shot) 76.09
GSM8k (5-shot) 31.08
Downloads last month
75
Safetensors
Model size
12.9B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for osanseviero/mistral-instruct-moe-experimental

Collection including osanseviero/mistral-instruct-moe-experimental

Evaluation results