Model Card on HF 🤗: https://huggingface.co/hongyin/mistral-0.5b-40k
Mistral 0.5B 40K 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)
Mistral 0.5B 40K Parameters and Internals
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| LLM Name | Mistral 0.5B 40K |
| Repository 🤗 | https://huggingface.co/hongyin/mistral-0.5b-40k |
| Model Size | 0.5b |
| Required VRAM | 1.2 GB |
| Updated | 2025-08-31 |
| Maintainer | hongyin |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en zh |
| Model Architecture | MistralForCausalLM |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 49304 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 0.5B 40K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 0.5B Chat Mistral | 32K / 1.2 GB | 3 | 4 |
| Mistral 0.5B Base | 4K / 2.1 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than hongyin/mistral-0.5b-40k .
Rank the Mistral 0.5B 40K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124