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Swallow 7B Instruct V0.1 4bit by mlx-community

 »  All LLMs  »  mlx-community  »  Swallow 7B Instruct V0.1 4bit   URL Share it on

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Ja   Llama   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Swallow-7b-instruct-v0.1-4bit 

Swallow 7B Instruct V0.1 4bit Benchmarks

LLME Score: 0.14866
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow 7B Instruct V0.1 4bit (mlx-community/Swallow-7b-instruct-v0.1-4bit)
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Swallow 7B Instruct V0.1 4bit Parameters and Internals

Model Type 
llama
Supported Languages 
en (Full support), ja (Full support)
LLM NameSwallow 7B Instruct V0.1 4bit
Repository 🤗https://huggingface.co/mlx-community/Swallow-7b-instruct-v0.1-4bit 
Base Model(s)  tokyotech-llm/Swallow-7b-instruct-v0.1   tokyotech-llm/Swallow-7b-instruct-v0.1
Model Size7b
Required VRAM4.1 GB
Updated2025-09-23
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  4.1 GB
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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CodelLama7B Inst DPO 7K Mlx16K / 4.2 GB283
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...coder S CL 7B 3.0bpw H6 EXL2 216K / 2.8 GB81
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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Swallow-7b-instruct-v0.1-4bit.

Rank the Swallow 7B Instruct V0.1 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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