alt.freeweights.mistral / mistral-7b-instruct-v0.3-bnb-4bit

From:

unsloth <huggingface.co/unsloth>Newsgroups: alt.freeweights.mistralSubject:

mistral-7b-instruct-v0.3-bnb-4bit

Date: 2026-11-15Commit: d5f6238Signed: 2DC28CC7B26A283B ✓

Text generation model with 7.5B parameters. Safetensors weights, 4.14 GB in all. Published by unsloth under Apache-2.0.

7.5B params

4.14GBmistral-7b-instruct-v0.3-bnb-4bitsafetensorspermissive

FactsParams7.5BSize4.14 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get unsloth/mistral-7b-instruct-v0.3-bnb-4bit
# manifest sha256 6cfa699b146d… · 4.14 GB · 10 files
$ fw verify ./mistral-7b-instruct-v0.3-bnb-4bit unsloth/mistral-7b-instruct-v0.3-bnb-4bit

From sourceHosted (signed)unsloth/mistral-7b-instruct-v0.3-bnb-4bitLast check: 2026-11-15 04:40 UTC

Run at home Get help

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

Quantized of Mistral-7B-Instruct-v0.3.

Works with

Run24 Fine-tune29 Convert15 Evaluate13 Scan13 Apps58

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

vLLM exo Text Generation WebUI

SGLang MLC LLM KTransformers LMCache Xinference LMDeploy mistral.rs Mooncake FlashInfer

Show all 24

AIBrix fastllm ExLlamaV3

Transformers LocalAI tinygrad gpu-unlock Triton Inference Server BentoML CTranslate2 ExLlamaV2 LitServe

Convert with

mergekit TensorRT Model Optimizer

LLM Compressor Neural Compressor AutoRound AQLM GPTQModel ONNX Core ML Tools ExecuTorch

Show all 15

Evaluate with

Opik DeepEval Ragas lm-evaluation-harness OpenCompass SWE-bench

simple-evals TruLens HELM

LightEval

Evaluate Weave

Show all 13

Autoevals

Scan with

promptfoo garak Guardrails NeMo Guardrails Giskard DeepTeam AI Fairness 360 Fairlearn Detoxify MCP Scanner AgentDojo ModelScan

Show all 13

picklescan

Overview Model card Files Use it License Provenance Model tree

Overview

Size: 4.14 GB
Weights: 4.14 GB (safetensors)
Parameters: 7.5B
Formats: safetensors
Task: text generation
License: Apache-2.0 (permissive)
Files: 10, each with a sha256
Publisher: unsloth
Added: 2026-11-15
Section: alt.freeweights.mistral

Lineage

Original release from the publisher.

Base model: mistralai/Mistral-7B-Instruct-v0.3

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

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-15 04:40 UTC	passed

Model card

From the publisher at commit d5f6238. 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 Google Colab Tesla T4 notebook for Mistral v3 7b here: https://colab.research.google.com/drive/1_yNCks4BTD5zOnjozppphh5GzMFaMKq_?usp=sharing

For conversational ShareGPT style and using Mistral v3 Instruct: https://colab.research.google.com/drive/15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing

https://discord.gg/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 supports	Free Notebooks	Performance	Memory use
Llama-3.2 (3B)	▶️ Start on Colab	2.4x faster	58% less
Llama-3.2 (11B vision)	▶️ Start on Colab	2x faster	60% less
Llama-3.1 (8B)	▶️ Start on Colab	2.4x faster	58% less
Qwen2 VL (7B)	▶️ Start on Colab	1.8x faster	60% less
Qwen2.5 (7B)	▶️ Start on Colab	2x faster	60% less
Phi-3.5 (mini)	▶️ Start on Colab	2x faster	50% less
Gemma 2 (9B)	▶️ Start on Colab	2.4x faster	58% less
Mistral (7B)	▶️ Start on Colab	2.2x faster	62% less
DPO - Zephyr	▶️ Start on Colab	1.9x faster	19% less

https://docs.unsloth.ai

This conversational notebook is useful for ShareGPT ChatML / Vicuna templates.
This text completion notebook is for raw text. This DPO notebook replicates Zephyr.
\* Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster.

Files

10 files · 4.14 GBWeights 4.14 GB (safetensors). Sizes and sha256 from the signed manifest.

Hide all 10 files with their sha256

File	Size	sha256
.gitattributes	1.52 KB	11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md	3.71 KB	151eb6bb78e2680a655d43745f0297c47f8c777400ed2d018f6d17b63283b390
config.json	1.21 KB	07823be7d5dc12f7ca56230104529e135b2b5762e295b81dd9095c95c1cd5f54
generation_config.json	157 B	1be59aba03aa1e31bef5bc190a3a2591ad1a754f96afcecc42bd342722447220
model.safetensors	4.14 GB	ad7ed4499584918602964dbfbc13cfb505d9079db10a100e5d72b969959b4d0f
special_tokens_map.json	446 B	63b489faa6ae280faead386b49f5b0de0fb72d7401dea2e3ce169f26a0b8bc2d
tokenizer.json	1.96 MB	60b945759e27a63c3c5c0ca675881f5a73b4aa38b5d1d6818570308d4f1a3c59
tokenizer.model	587 KB	37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
tokenizer.model.v3	587 KB	37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
tokenizer_config.json	141 KB	b0c776216a54c6d031866d1dff0b31715bd73f5ba87f8a30eb35e8c603dff95d

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
d5f623888f pinned now	2026-11-15 04:40 UTC	10 files · 4.14 GB

Use it

$ fw get unsloth/mistral-7b-instruct-v0.3-bnb-4bit
# manifest sha256 6cfa699b146d… · 4.14 GB · 10 files
$ fw verify ./mistral-7b-instruct-v0.3-bnb-4bit unsloth/mistral-7b-instruct-v0.3-bnb-4bit

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/unsloth/mistral-7b-instruct-v0.3-bnb-4bit.json --dir ./mistral-7b-instruct-v0.3-bnb-4bit
$ python3 fw.py verify ./mistral-7b-instruct-v0.3-bnb-4bit ./unsloth__mistral-7b-instruct-v0.3-bnb-4bit.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download unsloth/mistral-7b-instruct-v0.3-bnb-4bit --revision d5f623888f1415cf89b5c208d09cb620694618ee --local-dir ./mistral-7b-instruct-v0.3-bnb-4bit

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-7b-instruct-v0.3-bnb-4bit", revision="d5f623888f1415cf89b5c208d09cb620694618ee")
model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3-bnb-4bit", revision="d5f623888f1415cf89b5c208d09cb620694618ee", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve unsloth/mistral-7b-instruct-v0.3-bnb-4bit --revision d5f623888f1415cf89b5c208d09cb620694618ee

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: 151eb6bb78e2680a655d43745f0297c47f8c777400ed2d018f6d17b63283b390
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-7b-instruct-v0.3-bnb-4bitDate: 2026-11-15Commit: d5f6238Signed: 2DC28CC7B26A283B ✓

Upstream: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Pinned commit: d5f623888f1415cf89b5c208d09cb620694618ee
Manifest: mistral-7b-instruct-v0.3-bnb-4bit.json · .minisig
Manifest sha256: 6cfa699b146d734db36b148068e94c24fa9ce28d2eab343ae5fb8eeff39e22ce
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 04:40 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/unsloth/mistral-7b-instruct-v0.3-bnb-4bit.json
$ curl -O https://freeweights.allternit.com/manifests/unsloth/mistral-7b-instruct-v0.3-bnb-4bit.json.minisig
$ minisign -Vm mistral-7b-instruct-v0.3-bnb-4bit.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

Parent

mistralai/Mistral-7B-Instruct-v0.3 · this model is a quantization of it

No model in the catalog names this one as its parent.

Get it

Download

$ HF_ENDPOINT=https://freeweights.allternit.com hf download unsloth/mistral-7b-instruct-v0.3-bnb-4bit

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-instruct-v0.3-bnb-4bit.json. Provenance. Takedown history: none.

Source

huggingface.co/unsloth/mistral-7b-instruct-v0.3-bnb-4bit

Related models

All of alt.freeweights.mistral →

From: bartowski <huggingface.co/bartowski>Subject: alamios_Mistral-Small-3.1-DRAFT-0.5B-GGUF

From:

microsoft <huggingface.co/microsoft>Subject: chatbench-mistral-7b

From: NousResearch <huggingface.co/NousResearch>Subject: DeepHermes-3-Mistral-24B-Preview

From:

mistralai <huggingface.co/mistralai>Subject: Devstral-Small-2-24B-Instruct-2512

From:

mlx-community <huggingface.co/mlx-community>Subject: Devstral-Small-2-24B-Instruct-2512-4bit

From:

mlx-community <huggingface.co/mlx-community>Subject: Devstral-Small-2-24B-Instruct-2512-6bit

mistral-7b-instruct-v0.3-bnb-4bit

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

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

✨ Finetune for Free#

Files

Use it

License

Provenance

How to verify

Model tree

Related models