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Distill 1.7B 4bit MLX by samuelfaj

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Distill 1.7B 4bit MLX is an open-source language model by samuelfaj. Features: 1.7b LLM, VRAM: 1.1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

  4-bit   4bit Base model:quantized:samuelfaj... Base model:samuelfaj/distill-1...   Cli   Code   Conversational   Distill   Domain-specific   Expert-model   Mlx   Quantized   Qwen   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/samuelfaj/distill-1.7B-4bit-MLX 

Distill 1.7B 4bit MLX Benchmarks

LLME Score: 0.2881
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Distill 1.7B 4bit MLX (samuelfaj/distill-1.7B-4bit-MLX)
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Distill 1.7B 4bit MLX Parameters and Internals

LLM NameDistill 1.7B 4bit MLX
Repository 🤗https://huggingface.co/samuelfaj/distill-1.7B-4bit-MLX 
Base Model(s)  samuelfaj/distill-1.7B-MLX   samuelfaj/distill-1.7B-MLX
Model Size1.7b
Required VRAM1.1 GB
Updated2026-05-15
Maintainersamuelfaj
Model Typeqwen3
Model Files  1.1 GB
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 1.7B 4bit DWQ 05312540K / 1 GB6962
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...Qwen3 1.7B Abliterated V1 4bit40K / 1 GB10833
...wen3 1.7B Tamil 16bit Instruct40K / 3.4 GB70
Qwen3 1.7B MLX 6bit40K / 1.3 GB633
Qwe3 1.7B Acot40K / 3.4 GB70

Rank the Distill 1.7B 4bit MLX 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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