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Qwq Bakeneko 32B 8bit by mlx-community

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Qwq Bakeneko 32B 8bit is an open-source language model by mlx-community. Features: 32b LLM, VRAM: 34.9GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

  8-bit   8bit Base model:merge:rinna/qwq-bak... Base model:rinna/qwq-bakeneko-...   Conversational   En   Endpoints compatible   Ja   Mlx   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/qwq-bakeneko-32b-8bit 

Qwq Bakeneko 32B 8bit Benchmarks

LLME Score: 0.18558
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwq Bakeneko 32B 8bit (mlx-community/qwq-bakeneko-32b-8bit)
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Qwq Bakeneko 32B 8bit Parameters and Internals

LLM NameQwq Bakeneko 32B 8bit
Repository 🤗https://huggingface.co/mlx-community/qwq-bakeneko-32b-8bit 
Base Model(s)  Qwq Bakeneko 32B   rinna/qwq-bakeneko-32b
Model Size32b
Required VRAM34.9 GB
Updated2026-04-07
Maintainermlx-community
Model Typeqwen2
Model Files  5.3 GB: 1-of-7   5.4 GB: 2-of-7   5.4 GB: 3-of-7   5.3 GB: 4-of-7   5.4 GB: 5-of-7   5.4 GB: 6-of-7   2.7 GB: 7-of-7
Supported Languagesja en
Quantization Type8bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...ogito V1 Preview Qwen 32B 4bit128K / 18.5 GB375
...T1 Flash Lightest 32B Mlx 4Bit128K / 18.5 GB1518
QwQ 32B 8bit128K / 34.9 GB8014
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/qwq-bakeneko-32b-8bit.

Rank the Qwq Bakeneko 32B 8bit Capabilities

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