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alt.freeweights.mistral / Mistral-7B-v0.1
From: mistralai <huggingface.co/mistralai>Newsgroups: alt.freeweights.mistralSubject:

Mistral-7B-v0.1

Date: 2026-11-14Commit: 27d67f1Signed: 2DC28CC7B26A283B ✓

Text generation model with 7.2B parameters. Safetensors weights, 29.5 GB in all. Published by mistralai under Apache-2.0.

7.2B params29.5GBMistral-7B-v0.1safetensorspermissive
FactsParams7.2BSize29.5 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get mistralai/Mistral-7B-v0.1
# manifest sha256 481954687220… · 29.5 GB · 14 files
$ fw verify ./Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
From sourceHosted (signed)mistralai/Mistral-7B-v0.1Last check: 2026-11-14 21:24 UTC
Run at homeGet help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Works with

Run24Fine-tune29Convert15Evaluate13Scan13Apps58
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
29.5 GB
Weights
14.5 GB (safetensors)
Parameters
7.2B
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
14, each with a sha256
Publisher
mistralai
Added
2026-11-14
Section
alt.freeweights.mistral
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-14 21:24 UTCpassed

Model card

From the publisher at commit 27d67f1. Shown as plain text with links; images open at the publisher.

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, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.

Files

14 files · 29.5 GBWeights 14.5 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 14 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.55 KB418b17bd94d6b448cd5b6f476a4077129b563f447f36bd94e31b259bd6fcba7a
config.json571 Bcf25cdf4719f181d1d1d371973285d9afe9afde0d0c6a6fd48de857555ce1e0d
generation_config.json116 Bafcf2a1da583dbeb66bb367a759713901e23ce19ed83ed8f5a21b0e877addd5b
model-00001-of-00002.safetensors9.94 GB9742cb4764964155b7a5f35eefad651f590006091ddeb536863d6c5865cca1b9
model-00002-of-00002.safetensors4.54 GB9bcf56354ec0c68b5f8e97b4f3b02d16af899a65b0868d6dba5a51c1b30f01cb
model.safetensors.index.json25.1 KBc94ab46aaf5fcca44720c10bcc498c1b0d9759d47534a396e3512edc451ebd06
pytorch_model-00001-of-00002.bin9.94 GB67b1ea77d83cf017d6aa2fd9aadc6ad043a0cb3233a1cf9c422916b88350991f
pytorch_model-00002-of-00002.bin5.06 GB1feecce04754087e8e9a320847916ed57c6539ed0e5e2cd0ebdc7a816cc3773e
pytorch_model.bin.index.json23.9 KBf2d239108d89fb1568b9041e23f8526879c3fd500f65ac8d7c3204b270b648ef
special_tokens_map.json414 B6fa06efa2785e450051989a6f8fb4416b10149ded485ddd3f127a40734f5cfd0
tokenizer.json1.80 MB11c08db21487c885d8c792180f0be237f6a261b89a46f128a6a80a3aa4bd1720
tokenizer.model493 KBdadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
tokenizer_config.json996 Bddb008229511e51607002ffe28925001c4a9ca4177dc4de3a655d085cc610b99
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
27d67f1b5f pinned now manifest updated, same commit2026-11-14 21:24 UTC14 files · 29.5 GB
27d67f1b5f2026-11-14 21:24 UTC14 files · 29.5 GB

Use it

$ fw get mistralai/Mistral-7B-v0.1
# manifest sha256 481954687220… · 29.5 GB · 14 files
$ fw verify ./Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/mistralai/Mistral-7B-v0.1.json --dir ./Mistral-7B-v0.1 $ python3 fw.py verify ./Mistral-7B-v0.1 ./mistralai__Mistral-7B-v0.1.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download mistralai/Mistral-7B-v0.1 --revision 27d67f1b5f57dc0953326b2601d68371d40ea8da --local-dir ./Mistral-7B-v0.1
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1", revision="27d67f1b5f57dc0953326b2601d68371d40ea8da") model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1", revision="27d67f1b5f57dc0953326b2601d68371d40ea8da", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve mistralai/Mistral-7B-v0.1 --revision 27d67f1b5f57dc0953326b2601d68371d40ea8da
Run at home

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
README.md
Text sha256
418b17bd94d6b448cd5b6f476a4077129b563f447f36bd94e31b259bd6fcba7a
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: mistralai <huggingface.co/mistralai>Newsgroups: alt.freeweights.mistralSubject: Mistral-7B-v0.1Date: 2026-11-14Commit: 27d67f1Signed: 2DC28CC7B26A283B ✓
Upstream
mistralai/Mistral-7B-v0.1
Pinned commit
27d67f1b5f57dc0953326b2601d68371d40ea8da
Manifest
Mistral-7B-v0.1.json · .minisig
Manifest sha256
481954687220eba29319c83d39a581808619761c0afaa11d41cf2efd7fcc260a
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:24 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/mistralai/Mistral-7B-v0.1.json $ curl -O https://freeweights.allternit.com/manifests/mistralai/Mistral-7B-v0.1.json.minisig $ minisign -Vm Mistral-7B-v0.1.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

3 models in the catalog name this one as their parent.

Fine-tunes
1
Adapters
1
Quantizations
1
Fine-tunes 1
Adapters 1
Quantizations 1
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download mistralai/Mistral-7B-v0.1
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. Mistral-7B-v0.1.json. Provenance. Takedown history: none.
Source
huggingface.co/mistralai/Mistral-7B-v0.1

Variants

2 quantized or adapter builds of Mistral-7B-v0.1. Each has its own license check and page.

SubjectSizeParamsLicenseDate
chatbench-mistral-7bHosted (signed) From: microsoft in alt.freeweights.mistral108 MB—Permissive2026-11-15Mistral-7B-v0.1-onnxHosted (signed) From: microsoft in alt.freeweights.mistral14.5 GB—Permissive2026-11-15

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