What are the hardware requirements for Cheese 3B?

Cheese 3B requires approximately 1.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cheese 3B and how large is it?

Cheese 3B is developed by tsfrm, a model with 3b 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 Cheese 3B?

Cheese 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cheese 3B by tsfrm — VRAM 1.8GB, 128K context

Name: Cheese 3B
Author: tsfrm

Cheese 3B is an open-source language model by tsfrm. Features: 3b LLM, VRAM: 1.8GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.32.

4-bit 4bit Base model:adapter:mlx-communi... Base model:mlx-community/llama... Conversational Finetuned Instruct Llama Lora Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tsfrm/cheese-3b

Cheese 3B Parameters and Internals

LLM Name	Cheese 3B
Repository 🤗	https://huggingface.co/tsfrm/cheese-3b
Base Model(s)	mlx-community/Llama-3.2-3B-Instruct-4bit mlx-community/Llama-3.2-3B-Instruct-4bit
Model Size	3b
Required VRAM	1.8 GB
Updated	2026-08-25
Maintainer	tsfrm
Model Type	llama
Instruction-Based	Yes
Model Files	1.8 GB
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	TokenizersBackend
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Cheese 3B 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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