What are the hardware requirements for Unsloth Model 4bit?

Unsloth Model 4bit requires approximately 3.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Unsloth Model 4bit and how large is it?

Unsloth Model 4bit is developed by gr33ff, a model with 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 Unsloth Model 4bit?

Unsloth Model 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Unsloth Model 4bit by gr33ff — VRAM 3.9GB, 4K context

Name: Unsloth Model 4bit
Author: gr33ff

Unsloth Model 4bit is an open-source language model by gr33ff. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

4-bit 4bit Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-2-7b-... Bitsandbytes En Endpoints compatible Llama Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/gr33ff/unsloth_model_4bit

Unsloth Model 4bit Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, llama, trl

Additional Notes

Trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Unsloth Model 4bit
Repository 🤗	https://huggingface.co/gr33ff/unsloth_model_4bit
Base Model(s)	Llama 2 7B Bnb 4bit unsloth/llama-2-7b-bnb-4bit
Model Size	7b
Required VRAM	3.9 GB
Updated	2025-09-23
Maintainer	gr33ff
Model Type	llama
Model Files	3.9 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Unsloth Model 4bit 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 Unsloth Model 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Smaugv0.1 6.0bpw H6 EXL2	195K / 26.4 GB	1	4
Smaugv0.1 5.0bpw H6 EXL2	195K / 22.3 GB	3	3
Smaugv0.1 4.65bpw H6 EXL2	195K / 20.8 GB	5	1
Smaugv0.1 4.0bpw H6 EXL2	195K / 18 GB	4	1
Smaugv0.1 8.0bpw H8 EXL2	195K / 34.9 GB	4	1
Smaugv0.1 3.0bpw H6 EXL2	195K / 13.9 GB	0	1
DeepSeek Prover V2 7B 4bit	64K / 3.9 GB	236	4
Mistral 7B Openplatypus 1K	32K / 29 GB	1814	0
Mistral 7B OpenOrca 1K	32K / 29 GB	1811	3
...rnlm2 20B Llama 4.0bpw H6 EXL2	32K / 11 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than gr33ff/unsloth_model_4bit.