What are the hardware requirements for Le Gros Chaton?

Le Gros Chaton requires approximately 17.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Le Gros Chaton and how large is it?

Le Gros Chaton is developed by mateo0093, 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 Le Gros Chaton?

Le Gros Chaton is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Le Gros Chaton by mateo0093 — VRAM 17.9GB, 256K context

Name: Le Gros Chaton
Author: mateo0093

Le Gros Chaton is an open-source language model by mateo0093. Features: 9b LLM, VRAM: 17.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.31.

Agent Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-9b Coding Conversational Dataset:terminal-bench En Endpoints compatible Gated-deltanet Gdn Hybrid Lora Qwen Qwen3.5 Qwen3 5 text Region:us Safetensors Sft Terminal-bench

Model Card on HF 🤗: https://huggingface.co/mateo0093/le-gros-chaton

Le Gros Chaton Parameters and Internals

LLM Name	Le Gros Chaton
Repository 🤗	https://huggingface.co/mateo0093/le-gros-chaton
Model Name	le-gros-chaton
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-08-22
Maintainer	mateo0093
Model Type	qwen3_5_text
Model Files	17.9 GB
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Le Gros Chaton 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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FuseLLM 9B	256K / 17.9 GB	574	0
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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
...en3.5.9B Fold3 20260509 144751	256K / 17.9 GB	30	0