Autotrain compatible Conversational Dataset:neody/kusanagi Endpoints compatible Gguf Ja Mixtral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/neody/nixtral-500m-ja
Nixtral 500M Ja 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)
Nixtral 500M Ja Parameters and Internals
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | Nixtral 500M Ja |
| Repository 🤗 | https://huggingface.co/neody/nixtral-500m-ja |
| Model Size | 500m |
| Required VRAM | 1 GB |
| Updated | 2025-02-05 |
| Maintainer | neody |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | ja |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-sa-4.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227