What are the hardware requirements for Neural Chat 7B V3.1 GGUF?

Neural Chat 7B V3.1 GGUF requires approximately 2.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Neural Chat 7B V3.1 GGUF and how large is it?

Neural Chat 7B V3.1 GGUF is developed by second-state, 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 Neural Chat 7B V3.1 GGUF?

Neural Chat 7B V3.1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Neural Chat 7B V3.1 GGUF by second-state — VRAM 2.7GB, 32K context

Name: Neural Chat 7B V3.1 GGUF
Author: second-state

Neural Chat 7B V3.1 GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 2.7GB, Context: 32K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.1.

Base model:intel/neural-chat-7... Base model:quantized:intel/neu... Finetuned Gguf Lora Mistral Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Neural-Chat-7B-v3-1-GGUF

Neural Chat 7B V3.1 GGUF Parameters and Internals

Model Type

mistral

LLM Name	Neural Chat 7B V3.1 GGUF
Repository 🤗	https://huggingface.co/second-state/Neural-Chat-7B-v3-1-GGUF
Model Name	Neural Chat 7B v3-1
Model Creator	Intel
Base Model(s)	Neural Chat 7B V3.1 Intel/neural-chat-7b-v3-1
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-07-20
Maintainer	second-state
Model Type	mistral
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.1 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Vocabulary Size	32000
LoRA Model	Yes
Torch Data Type	float16

Rank the Neural Chat 7B V3.1 GGUF 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 Neural Chat 7B V3.1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	35	3
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	34	3
Backrooms Mistral 7B 10e	32K / 14.5 GB	128	0
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	26	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	167	0
...andle Dolphin 2.2.1 Mistral 7B	32K / 14.4 GB	96	0
Boptruth Agatha 7B	32K / 14.4 GB	129	0
Mahou 1.2a Mistral 7B	32K / 14.4 GB	33	7
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14

Note: green Score (e.g. "73.2") means that the model is better than second-state/Neural-Chat-7B-v3-1-GGUF.