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Qwen3.6 35B Rust.mlx by jedisct1

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Qwen3.6 35B Rust.mlx is an open-source language model by jedisct1. Features: 35b LLM, VRAM: 37.1GB, License: other, Quantized, LLM Explorer Score: 0.34.

  8-bit Base model:adapter:brooooookly... Base model:brooooooklyn/qwen3....   Code-generation   Conversational   Dataset:jedisct1/rust   En   Finetuned   Lora   Mlx   Moe   Q8   Quantized   Qwen3 5 moe   Region:us   Rust   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jedisct1/Qwen3.6-35B-rust.mlx 

Qwen3.6 35B Rust.mlx Benchmarks

LLME Score: 0.33908
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B Rust.mlx (jedisct1/Qwen3.6-35B-rust.mlx)
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Qwen3.6 35B Rust.mlx Parameters and Internals

LLM NameQwen3.6 35B Rust.mlx
Repository 🤗https://huggingface.co/jedisct1/Qwen3.6-35B-rust.mlx 
Base Model(s)  Brooooooklyn/Qwen3.6-35B-A3B-UD-Q8_K_XL-mlx   Brooooooklyn/Qwen3.6-35B-A3B-UD-Q8_K_XL-mlx
Model Size35b
Required VRAM37.1 GB
Updated2026-05-16
Maintainerjedisct1
Model Typeqwen3_5_moe
Model Files  5.4 GB: 1-of-8   5.1 GB: 2-of-8   5.4 GB: 3-of-8   5.1 GB: 4-of-8   5.1 GB: 5-of-8   5.1 GB: 6-of-8   5.4 GB: 7-of-8   0.5 GB: 8-of-8
Supported Languagesen
Quantization Typeq8
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseother
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
LoRA ModelYes
Errorsreplace

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...B Abliterated Heretic MLX 4bit0K / 23.6 GB2407717
... 4.7 Opus Abliterated Mlx 8bit0K / 37 GB1355414
Qwen3.6 35B A3B 4bit DWQ0K / 20.7 GB1601812
Qwen3.6 35B A3B UD Q4 K XL Mlx0K / 22.7 GB76228
Qwen3.6 35B A3B OptiQ 4bit0K / 21 GB11752
Qwen3.5 35B A3B UD Q4 K XL Mlx0K / 22.9 GB10415
Qwen3.6 35B A3B UD Q8 K XL Mlx0K / 38.2 GB6280
...en3.5 35B A3B Abliterated 6bit0K / 28 GB7914
Ecu Pilot Fp160K / 72.3 GB110
Qwen3.6 35B A3B PRISM NVFP40K / 1.7 GB18942319
Note: green Score (e.g. "73.2") means that the model is better than jedisct1/Qwen3.6-35B-rust.mlx.

Rank the Qwen3.6 35B Rust.mlx Capabilities

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