What are the hardware requirements for Tmax 9B MLX 8bit?

Tmax 9B MLX 8bit requires approximately 9.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tmax 9B MLX 8bit and how large is it?

Tmax 9B MLX 8bit is developed by mlx-community, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Tmax 9B MLX 8bit?

Tmax 9B MLX 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tmax 9B MLX 8bit by mlx-community — VRAM 9.5GB

Name: Tmax 9B MLX 8bit
Author: mlx-community

Tmax 9B MLX 8bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 9.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

8-bit 8bit Base model:allenai/tmax-9b Base model:quantized:allenai/t... Conversational Mlx Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Tmax-9B-MLX-8bit

Tmax 9B MLX 8bit Parameters and Internals

LLM Name	Tmax 9B MLX 8bit
Repository 🤗	https://huggingface.co/mlx-community/Tmax-9B-MLX-8bit
Base Model(s)	Tmax 9B allenai/tmax-9b
Model Size	9b
Required VRAM	9.5 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-2 4.2 GB: 2-of-2
Quantization Type	8bit
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Tmax 9B 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

Best Alternatives to Tmax 9B MLX 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...wen3.5 9B Abliterated MLX 4bit	256K / 5 GB	1063	10
Qwen3.5 Text 9B Bnb 4bit	256K / 7.6 GB	1100	4
Ornith 1.0 9B NVFP4 AWQ	256K / 8 GB	3779	3
Merlin Agent	256K / 17.9 GB	571	9
Carnice 9B	256K / 17.9 GB	358	186
FuseLLM 9B	256K / 17.9 GB	574	0
Qwen3.5 9B Abliterated	256K / 17.9 GB	2422	59
Mitra Qwen35 Base Stage2	256K / 17.9 GB	20	0
Carnice 9B SFT Fable5 Glint	256K / 17.9 GB	66	0
Qwen3.5 9B Text Only	256K / 17.9 GB	595	8

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Tmax-9B-MLX-8bit.