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Llama 3 8B Instruct 262K 4bit by mlx-community

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Llama 3 8B Instruct 262K 4bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 4.5GB, Context: 256K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  4bit   Conversational   En   Instruct   Llama   Llama-3   Meta   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3-8B-Instruct-262k-4bit 

Llama 3 8B Instruct 262K 4bit Benchmarks

LLME Score: 0.13037
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct 262K 4bit (mlx-community/Llama-3-8B-Instruct-262k-4bit)
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Llama 3 8B Instruct 262K 4bit Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (Supported)
LLM NameLlama 3 8B Instruct 262K 4bit
Repository 🤗https://huggingface.co/mlx-community/Llama-3-8B-Instruct-262k-4bit 
Base Model(s)  ...ama 3 8B Instruct 262K Chinese   shibing624/llama-3-8b-instruct-262k-chinese
Model Size8b
Required VRAM4.5 GB
Updated2026-04-01
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  4.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length262144
Model Max Length262144
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama 3 8B Instruct 262K 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB162
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB101
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB92
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB50
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB62325
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB30717
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB53
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB51
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB271
...B Instruct 262k V2 EXL2 8.0bpw256K / 8.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3-8B-Instruct-262k-4bit.

Rank the Llama 3 8B Instruct 262K 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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