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Snakmodel 7B Instruct Mlx 4bit by NLPnorth

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Snakmodel 7B Instruct Mlx 4bit is an open-source language model by NLPnorth. Features: 7b LLM, VRAM: 3.8GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  4-bit   4bit Base model:nlpnorth/snakmodel-... Base model:quantized:nlpnorth/...   Conversational   Da   Instruct   Llama   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/NLPnorth/snakmodel-7b-instruct-mlx-4bit 

Snakmodel 7B Instruct Mlx 4bit Benchmarks

LLME Score: 0.19491
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Snakmodel 7B Instruct Mlx 4bit (NLPnorth/snakmodel-7b-instruct-mlx-4bit)
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Snakmodel 7B Instruct Mlx 4bit Parameters and Internals

LLM NameSnakmodel 7B Instruct Mlx 4bit
Repository 🤗https://huggingface.co/NLPnorth/snakmodel-7b-instruct-mlx-4bit 
Base Model(s)  Snakmodel 7B Instruct   NLPnorth/snakmodel-7b-instruct
Model Size7b
Required VRAM3.8 GB
Updated2026-07-08
MaintainerNLPnorth
Model Typellama
Instruction-BasedYes
Model Files  3.8 GB
Supported Languagesda
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Snakmodel 7B Instruct Mlx 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Text Summarization and Feature Extraction  
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