What are the hardware requirements for NemoMix Unleashed EXL2 4bpw?

NemoMix Unleashed EXL2 4bpw requires approximately 7.3 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NemoMix Unleashed EXL2 4bpw and how large is it?

NemoMix Unleashed EXL2 4bpw is developed by Statuo. 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 NemoMix Unleashed EXL2 4bpw?

NemoMix Unleashed EXL2 4bpw is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NemoMix Unleashed EXL2 4bpw by Statuo — VRAM 7.3GB, 1000K context

Name: NemoMix Unleashed EXL2 4bpw
Author: Statuo

NemoMix Unleashed EXL2 4bpw is an open-source language model by Statuo. Features: LLM, VRAM: 7.3GB, Context: 1000K, Quantized, LLM Explorer Score: 0.14.

4-bit Endpoints compatible Exl2 Merge Mergekit Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Statuo/NemoMix-Unleashed-EXL2-4bpw

NemoMix Unleashed EXL2 4bpw Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Role-play, Storytelling

Additional Notes

This model was merged using pre-trained language models. Credits to contributing models.

Training Details

Methodology:

Merge using della_linear method

Input Output

Performance Tips:

Temperature 1.0-1.25, 0.1 Top A or 0.01-0.1 Min P, 0.8/1.75/2/0 DRY

LLM Name	NemoMix Unleashed EXL2 4bpw
Repository 🤗	https://huggingface.co/Statuo/NemoMix-Unleashed-EXL2-4bpw
Required VRAM	7.3 GB
Updated	2026-07-23
Maintainer	Statuo
Model Type	mistral
Model Files	7.3 GB
Quantization Type	exl2
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the NemoMix Unleashed EXL2 4bpw 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 NemoMix Unleashed EXL2 4bpw

Best Alternatives	Context / RAM	Downloads	Likes
...al Small 2505 Unsloth Bnb 4bit	128K / 15 GB	82	5
...0.88 07.02 RP DPO Merged 16bit	32K / 14.4 GB	6	0
...eZephir Sft Instruct Ead 16bit	32K / 14.4 GB	56	0
...cr To Json V1 HQQ 1bit Smashed	32K / 1.6 GB	5	0
...cr To Json V1 HQQ 4bit Smashed	32K / 4.2 GB	5	0
ScikitLLM Model EXL2	32K / 3 GB	5	1
Chargen V2 8bpw EXL2	32K / 7.4 GB	1	1
...tral PairRM DPO 8.0bpw H8 EXL2	32K / 7.4 GB	7	2
HamSter 0.2 8.0bpw H8 EXL2	32K / 7.4 GB	3	1
...N L1 Chat RL V1.3.0bpw H6 EXL2	32K / 3 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Statuo/NemoMix-Unleashed-EXL2-4bpw.