Model Card on HF 🤗: https://huggingface.co/TouchNight/Ministral-8B-Instruct-2410-HF
Ministral 8B Instruct 2410 HF 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 8B Instruct 2410 HF Parameters and Internals
| LLM Name | Ministral 8B Instruct 2410 HF |
| Repository 🤗 | https://huggingface.co/TouchNight/Ministral-8B-Instruct-2410-HF |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-02-05 |
| Maintainer | TouchNight |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en fr de es it pt zh ja ru ko |
| Model Architecture | MambaSSM |
| License | other |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 131072 |
Best Alternatives to Ministral 8B Instruct 2410 HF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ministral 8B Instruct 2410 | 0K / 16.1 GB | 1188570 | 415 |
Note: green Score (e.g. "73.2") means that the model is better than TouchNight/Ministral-8B-Instruct-2410-HF .
Rank the Ministral 8B Instruct 2410 HF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227