What are the hardware requirements for Neural Mistral 7B?

Neural Mistral 7B requires approximately 14.4 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 Mistral 7B and how large is it?

Neural Mistral 7B is developed by Corianas, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Neural Mistral 7B perform on standard benchmarks?

Neural Mistral 7B has the following published scores: MMLU 60.92. Compare against reference models on this page or on the LLM Explorer leaderboards.

Neural Mistral 7B by Corianas — VRAM 14.4GB, 32K context

Name: Neural Mistral 7B
Author: Corianas

Neural Mistral 7B is an open-source language model by Corianas. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18, Arc: 63.4, HellaSwag: 85.6, MMLU: 60.9, GSM8K: 37.5.

Arxiv:1910.09700 Conversational Dataset:intel/orca dpo pairs En Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Corianas/Neural-Mistral-7B

Neural Mistral 7B Parameters and Internals

Model Type

:text-generation

Use Cases

Areas:

More Information Needed

Applications:

More Information Needed

Primary Use Cases:

More Information Needed

Limitations:

More Information Needed

Considerations:

More Information Needed

Additional Notes

More Information Needed

Supported Languages

en (unknown)

Training Details

Data Sources:

Intel/orca_dpo_pairs

Methodology:

Direct Preference Optimization (DPO)

Model Architecture:

Grouped-Query Attention, Sliding-Window Attention, Byte-fallback BPE tokenizer

Input Output

Input Format:

Prompts should be surrounded by [INST] and [/INST] tokens.

LLM Name	Neural Mistral 7B
Repository 🤗	https://huggingface.co/Corianas/Neural-Mistral-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-25
Maintainer	Corianas
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Neural Mistral 7B 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 Mistral 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	10	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	13	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Lexi Coder V5.1	32K / 14.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than Corianas/Neural-Mistral-7B.