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Swallow MX 8x7b NVE V0.1 by tokyotech-llm

 »  All LLMs  »  tokyotech-llm  »  Swallow MX 8x7b NVE V0.1   URL Share it on

  1375   
  Arxiv:2401.04088   Arxiv:2404.17733   Autotrain compatible   En   Endpoints compatible   Ja   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1 

Swallow MX 8x7b NVE V0.1 Benchmarks

LLME Score: 0.15752
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow MX 8x7b NVE V0.1 (tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1)
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Swallow MX 8x7b NVE V0.1 Parameters and Internals

LLM NameSwallow MX 8x7b NVE V0.1
Repository 🤗https://huggingface.co/tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-10-02
Maintainertokyotech-llm
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen ja
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Swallow MX 8x7b NVE V0.1

Model
Likes
Downloads
VRAM
...arakuri Lm 8x7b Chat V0.1 8bit1849 GB

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Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1.

Rank the Swallow MX 8x7b NVE V0.1 Capabilities

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