What are the hardware requirements for Nesso 4B?

Nesso 4B requires approximately 8.1 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 Nesso 4B and how large is it?

Nesso 4B is developed by mii-llm, a model with 4b 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 Nesso 4B?

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

Nesso 4B by mii-llm — VRAM 8.1GB, 256K context

Name: Nesso 4B
Author: mii-llm

Nesso 4B is an open-source language model by mii-llm. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: other, LLM Explorer Score: 0.21.

Agents Chat Conversational Endpoints compatible Multilingual On-device Qwen3 Rag Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mii-llm/nesso-4B

Nesso 4B Parameters and Internals

LLM Name	Nesso 4B
Repository 🤗	https://huggingface.co/mii-llm/nesso-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-10-08
Maintainer	mii-llm
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Nesso 4B 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 Nesso 4B

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	10	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
SRA RiskGate 4B	256K / 8 GB	2662	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Mgi Assistant V1 Qwen3 4B	256K / 8.1 GB	669	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Fable Traces	256K / 8.1 GB	140	210

Note: green Score (e.g. "73.2") means that the model is better than mii-llm/nesso-4B.