Autotrain compatible Conversational En Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ministral/Ministral-4b-instruct
Ministral 4B Instruct Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Ministral 4B Instruct Parameters and Internals
| LLM Name | Ministral 4B Instruct |
| Repository 🤗 | https://huggingface.co/ministral/Ministral-4b-instruct |
| Model Size | 4b |
| Required VRAM | 8.9 GB |
| Updated | 2025-02-05 |
| Maintainer | ministral |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Ministral 4B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ministral 4B Fork | 32K / 9 GB | 26 | 0 |
| MistralPh3 4B Slerp | 4K / 7.8 GB | 78 | 0 |
| ...mail Search Phi3 Vllm Model 4b | 4K / 2.3 GB | 76 | 0 |
| Athena CodePhi 4B 4K V0.1 | 4K / 7.6 GB | 19 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ministral/Ministral-4b-instruct .
Rank the Ministral 4B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227