What are the hardware requirements for CAT Thinking 8B MLX 8bit?

CAT Thinking 8B MLX 8bit requires approximately 8.7 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CAT Thinking 8B MLX 8bit and how large is it?

CAT Thinking 8B MLX 8bit is developed by mlx-community, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does CAT Thinking 8B MLX 8bit perform on standard benchmarks?

CAT Thinking 8B MLX 8bit has the following published scores: LMSYS ELO 1464. Compare against reference models on this page or on the LLM Explorer leaderboards.

CAT Thinking 8B MLX 8bit by mlx-community — VRAM 8.7GB, 40K context

Name: CAT Thinking 8B MLX 8bit
Author: mlx-community

CAT Thinking 8B MLX 8bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 8.7GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.38, ELO: 1464.

8-bit 8bit Base model:cyberagent/cat-thin... Base model:quantized:cyberagen... Conversational En Ja Mlx Quantized Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/CAT-Thinking-8B-MLX-8bit

CAT Thinking 8B MLX 8bit Benchmarks

LMSys ELO 1464 vs 1272 (so35) 15.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

CAT Thinking 8B MLX 8bit Parameters and Internals

LLM Name	CAT Thinking 8B MLX 8bit
Repository 🤗	https://huggingface.co/mlx-community/CAT-Thinking-8B-MLX-8bit
Base Model(s)	CAT Thinking 8B cyberagent/CAT-Thinking-8B
Model Size	8b
Required VRAM	8.7 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	qwen3
Model Files	5.3 GB: 1-of-2 3.4 GB: 2-of-2
Supported Languages	en ja
Quantization Type	8bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the CAT Thinking 8B MLX 8bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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