Swallow 70B Instruct V0.1 4bit by mlx-community

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Ja   Llama   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Swallow 70B Instruct V0.1 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow 70B Instruct V0.1 4bit (mlx-community/Swallow-70b-instruct-v0.1-4bit)

Swallow 70B Instruct V0.1 4bit Parameters and Internals

Model Type 
llama
Supported Languages 
en (Full support), ja (Full support)
LLM NameSwallow 70B Instruct V0.1 4bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/Swallow-70b-instruct-v0.1-4bit 
Base Model(s)  tokyotech-llm/Swallow-70b-instruct-v0.1   tokyotech-llm/Swallow-70b-instruct-v0.1
Model Size70b
Required VRAM39.5 GB
Updated2025-02-22
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.3 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.3 GB: 4-of-8   5.3 GB: 5-of-8   5.3 GB: 6-of-8   5.3 GB: 7-of-8   2.4 GB: 8-of-8
Supported Languagesen ja
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.40.0.dev0
Vocabulary Size43176
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Swallow-70b-instruct-v0.1-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227