What are the hardware requirements for Thomson 1.0 Small Mlx 8Bit?

Thomson 1.0 Small Mlx 8Bit requires approximately 37 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Thomson 1.0 Small Mlx 8Bit and how large is it?

Thomson 1.0 Small Mlx 8Bit is developed by McG-221, a model with 9.7b 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 Thomson 1.0 Small Mlx 8Bit?

Thomson 1.0 Small Mlx 8Bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Thomson 1.0 Small Mlx 8Bit by McG-221 — VRAM 37GB

Name: Thomson 1.0 Small Mlx 8Bit
Author: McG-221

Thomson 1.0 Small Mlx 8Bit is an open-source language model by McG-221. Features: 9.7b LLM, VRAM: 37GB, License: other, Quantized, LLM Explorer Score: 0.29.

8-bit 8bit Base model:quantized:thomsonre... Base model:thomsonreuters/thom... Conversational Endpoints compatible Image-text-to-text Mlx Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/McG-221/Thomson-1.0-Small-mlx-8Bit

Thomson 1.0 Small Mlx 8Bit Parameters and Internals

LLM Name	Thomson 1.0 Small Mlx 8Bit
Repository 🤗	https://huggingface.co/McG-221/Thomson-1.0-Small-mlx-8Bit
Base Model(s)	thomsonreuters/Thomson-1.0-Small thomsonreuters/Thomson-1.0-Small
Model Size	9.7b
Required VRAM	37 GB
Updated	2026-08-28
Maintainer	McG-221
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-7 5.4 GB: 2-of-7 5.4 GB: 3-of-7 5.4 GB: 4-of-7 5.4 GB: 5-of-7 5.4 GB: 6-of-7 4.7 GB: 7-of-7
Quantization Type	8bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Thomson 1.0 Small Mlx 8Bit 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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