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alt.freeweights.mistral / Mistral-Nemo-Instruct-2407
From: unsloth <huggingface.co/unsloth>Newsgroups: alt.freeweights.mistralSubject:

Mistral-Nemo-Instruct-2407

Date: 2026-11-15Commit: e997604Signed: 2DC28CC7B26A283B ✓

Text generation model with 12.2B parameters. Safetensors weights, 24.5 GB in all. Published by unsloth under Apache-2.0.

12.2B params24.5GBMistral-Nemo-Instruct-2407safetensorspermissive
FactsParams12.2BSize24.5 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get unsloth/Mistral-Nemo-Instruct-2407
# manifest sha256 7c7016ffbe2a… · 24.5 GB · 16 files
$ fw verify ./Mistral-Nemo-Instruct-2407 unsloth/Mistral-Nemo-Instruct-2407
From sourceHosted (signed)unsloth/Mistral-Nemo-Instruct-2407Last check: 2026-11-15 03:29 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
24.5 GB
Weights
24.5 GB (safetensors)
Parameters
12.2B
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
16, each with a sha256
Publisher
unsloth
Added
2026-11-15
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.co2026-11-15 03:29 UTCpassed

Model card

From the publisher at commit e997604. Shown as plain text with links; images open at the publisher.

Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!#

We have a free Google Colab Tesla T4 notebook for Mistral Nemo 12b here: https://colab.research.google.com/drive/17d3U-CAIwzmbDRqbZ9NnpHxCkmXB6LZ0?usp=sharing

https://discord.gg/u54VK8m8tk https://ko-fi.com/unsloth https://github.com/unslothai/unsloth

✨ Finetune for Free#

All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.

Unsloth supportsFree NotebooksPerformanceMemory use
Llama-3 8b▶️ Start on Colab2.4x faster58% less
Gemma 7b▶️ Start on Colab2.4x faster58% less
Mistral 7b▶️ Start on Colab2.2x faster62% less
Llama-2 7b▶️ Start on Colab2.2x faster43% less
TinyLlama▶️ Start on Colab3.9x faster74% less
CodeLlama 34b A100▶️ Start on Colab1.9x faster27% less
Mistral 7b 1xT4▶️ Start on Kaggle5x faster\*62% less
DPO - Zephyr▶️ Start on Colab1.9x faster19% less

Files

16 files · 24.5 GBWeights 24.5 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 16 files with their sha256
FileSizesha256
.gitattributes1.62 KB1e11e8e6b9eb852a71eadd8fe191d4b9e329eb81308602dec19ab16da7e172b2
README.md3.25 KB7f277442ead8c785a92bdb1eff7d7440d3e09854f112ad592619f214d0e11295
config.json728 B192f2c9d831f9d68d227c33a1efe5cf110f47a5be5f7d8103d9d058739455a49
generation_config.json162 B1e4b03eaaa5e7c3240222639aee255b58f05feef1ae617dcab408e798bd9920d
merges.txt3.13 MB4e4d41c64d2ed2e26713ae7af7c958b07df532a6f4498dffa9a2cf7f4c6c0aa6
model-00001-of-00005.safetensors4.87 GB37597b50c825674e56ff1b058f0d148b57dcbc1c39727b641a87ffbf247886ec
model-00002-of-00005.safetensors4.91 GBcec7e36f1451270477569401d5c06af9df8f12da341ff446322796979a30d88b
model-00003-of-00005.safetensors4.91 GBfd68cdd7584ed9bdb5d891cd72fe05abbb50b6ad2860d147786d27a15f764aaa
model-00004-of-00005.safetensors4.91 GB02a05716064ca298c767b7accf9aed9153f9e090eff4605b871de005ce7ce3a9
model-00005-of-00005.safetensors4.91 GBf41f0dd6989345ad1f29d6ab341cbf965bec0954bd90884913ff4cb1b8cc8402
model.safetensors.index.json29.9 KBf14ac27ce39aa8652e83b8e3a9c59babba2831711e5b31512c1f96bfeeee09cf
special_tokens_map.json552 B358c249e2fb29060c6b73157d428853b0c48710deffc8ee670ab1013880946c9
tekken.json14.8 MBeccd1665d2e477697c33cb7f0daa6f6dfefc57a0a6bceb66d4be52952f827516
tokenizer.json17.1 MBb0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
tokenizer_config.json181 KB92d19ad7f909f31171243d4b15af2ec019b3ee8886caaa869244962be5ee37ce
vocab.json2.47 MB8572e8853a6b2f2d830de4afa15d43c49257d367abf3c5fd2f6f7687bcd8f63d
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
e9976040f4 pinned now2026-11-15 03:29 UTC16 files · 24.5 GB

Use it

$ fw get unsloth/Mistral-Nemo-Instruct-2407
# manifest sha256 7c7016ffbe2a… · 24.5 GB · 16 files
$ fw verify ./Mistral-Nemo-Instruct-2407 unsloth/Mistral-Nemo-Instruct-2407
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/unsloth/Mistral-Nemo-Instruct-2407.json --dir ./Mistral-Nemo-Instruct-2407 $ python3 fw.py verify ./Mistral-Nemo-Instruct-2407 ./unsloth__Mistral-Nemo-Instruct-2407.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download unsloth/Mistral-Nemo-Instruct-2407 --revision e9976040f42d8a5590ed58cefe973061b3f973b5 --local-dir ./Mistral-Nemo-Instruct-2407
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407", revision="e9976040f42d8a5590ed58cefe973061b3f973b5") model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407", revision="e9976040f42d8a5590ed58cefe973061b3f973b5", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve unsloth/Mistral-Nemo-Instruct-2407 --revision e9976040f42d8a5590ed58cefe973061b3f973b5
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. 2026-11-15
Text in
README.md
Text sha256
7f277442ead8c785a92bdb1eff7d7440d3e09854f112ad592619f214d0e11295
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: unsloth <huggingface.co/unsloth>Newsgroups: alt.freeweights.mistralSubject: Mistral-Nemo-Instruct-2407Date: 2026-11-15Commit: e997604Signed: 2DC28CC7B26A283B ✓
Upstream
unsloth/Mistral-Nemo-Instruct-2407
Pinned commit
e9976040f42d8a5590ed58cefe973061b3f973b5
Manifest
Mistral-Nemo-Instruct-2407.json · .minisig
Manifest sha256
7c7016ffbe2aae876cc33d501829151520ee90f40416df70c79109b30b912967
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:29 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/unsloth/Mistral-Nemo-Instruct-2407.json $ curl -O https://freeweights.allternit.com/manifests/unsloth/Mistral-Nemo-Instruct-2407.json.minisig $ minisign -Vm Mistral-Nemo-Instruct-2407.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

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download unsloth/Mistral-Nemo-Instruct-2407
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. Mistral-Nemo-Instruct-2407.json. Provenance. Takedown history: none.
Source
huggingface.co/unsloth/Mistral-Nemo-Instruct-2407

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