🧠
Mistral 7b V0.1 model by mistralai
⭐ 27
🧠
Model

Mistral 7b V0.1

by mistralai hf-model--huggingface--mistralai--mistral-7b-v0.1
Nexus Index
27.0 Top 1%
P / V / C / U Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
7 Params
4.096K Ctx
Vital Performance
380.7K DL / 30D
0.0%

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested. For full details of this m...

Source β†’
Audited 27 FNI Score
7B Params
4k Context
Hot 380.7K Downloads
8G GPU ~7GB Est. VRAM
Dense MISTRAL Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--huggingface--mistralai--mistral-7b-v0.1
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.5GB VRAM

Interactive
Analyze Hardware
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__huggingface__mistralai__mistral_7b_v0.1,
  author = {mistralai},
  title = {Mistral 7b V0.1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mistralai/Mistral-7B-v0.1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
mistralai. (2026). Mistral 7b V0.1 [Model]. Free2AITools. https://huggingface.co/mistralai/Mistral-7B-v0.1

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mistral-7b-v0.1
πŸ€— HF Download
huggingface-cli download huggingface/mistralai/mistral-7b-v0.1
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Nexus Index V16.5

Methodology Index Protocol
27.0
ESTIMATED IMPACT TIER
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

πŸ’¬ Index Insight

The Free2AITools Nexus Index for Mistral 7b V0.1 aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

πŸš€ What's Next?

πŸ“Š

Find Training Datasets

Discover datasets compatible with this model

πŸ“ˆ

Compare Benchmarks

See how this model ranks on standard tests

⚑

Deployment Guide

Understand deployment options

Technical Deep Dive

library_name: transformers
language:

  • en
    license: apache-2.0
    tags:
  • pretrained
  • mistral-common
    inference: false
    extra_gated_description: >-
    If you want to learn more about how we process your personal data, please read
    our Privacy Policy.

Model Card for Mistral-7B-v0.1

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.
Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.

For full details of this model please read our paper and release blog post.

Model Architecture

Mistral-7B-v0.1 is a transformer model, with the following architecture choices:

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

Troubleshooting

  • If you see the following error:
KeyError: 'mistral'
  • Or:
NotImplementedError: Cannot copy out of meta tensor; no data!

Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.

Notice

Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.

The Mistral AI Team

Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, LΓ©lio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, TimothΓ©e Lacroix, William El Sayed.

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • β€’ Source: Unknown
Top Tier

Social Proof

HuggingFace Hub
4.0KLikes
380.7KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

πŸ†” Identity & Source

id
hf-model--huggingface--mistralai--mistral-7b-v0.1
source
huggingface
author
mistralai
tags
transformerspytorchsafetensorsmistraltext-generationpretrainedmistral-commonenarxiv:2310.06825license:apache-2.0text-generation-inferenceregion:us

βš™οΈ Technical Specs

architecture
mistral
params billions
7
context length
4,096
pipeline tag
text-generation
vram gb
6.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

likes
4,018
downloads
380,656

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)