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picAIso
/
code-stral-mini

Text Generation
Transformers
Safetensors
mistral
mergekit
Merge
text-generation-inference
Model card Files
xet
 Community
How to use from
vLLM
Install from pip and serve model 
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "picAIso/code-stral-mini"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "picAIso/code-stral-mini",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker 
docker model run hf.co/picAIso/code-stral-mini
Quick Links

merge

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

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:


  slices:
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 0
          - 8
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 7
          - 8
        parameters:
          scale:
            - filter: o_proj
              value: 0
            - filter: down_proj
              value: 0
            - value: 1
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 16
          - 24
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 23
          - 24
        parameters:
          scale:
            - filter: o_proj
              value: 0
            - filter: down_proj
              value: 0
            - value: 1
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 32
          - 40
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 39
          - 40
        parameters:
          scale:
            - filter: o_proj
              value: 0
            - filter: down_proj
              value: 0
            - value: 1
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 48
          - 56
  - sources:
      - model: mistral-community/Codestral-22B-v0.1
        layer_range:
          - 55
          - 56
        parameters:
          scale:
            - filter: o_proj
              value: 0
            - filter: down_proj
              value: 0
            - value: 1

  merge_method: passthrough
  dtype: bfloat16
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Model size
14B params
Tensor type
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