MaziyarPanahi / text-generation Open weights updated 2 years ago

Mistral-7B-v0.1-GGUF

MaziyarPanahi/Mistral-7B-v0.1-GGUF contains GGUF format model files for mistralai/Mistral-7B-v0.1.

Params
7.0 B
Context
32,768
Downloads 30d
157 K
Likes
0
Commercial use: allowed apache-2.0 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 7 days
157 K155 K
Oct 19Oct 21Oct 23Oct 25

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
Mistral-7B-v0.1.Q2_K.gguf Q2_K 2.7 GB 4.5 GB ✅ Runs comfortably
Mistral-7B-v0.1.Q3_K_S.gguf Q3_K_S 3.2 GB 5.0 GB ✅ Runs comfortably
Mistral-7B-v0.1.Q3_K_M.gguf Q3_K_M 3.5 GB 5.4 GB ✅ Runs comfortably
Mistral-7B-v0.1.Q3_K_L.gguf Q3_K_L 3.8 GB 5.8 GB ✅ Runs comfortably
Mistral-7B-v0.1.Q4_K_S.gguf Q4_K_S 4.1 GB 6.1 GB ✅ Runs comfortably
Mistral-7B-v0.1.Q4_K_M.gguf Q4_K_M 4.4 GB 6.4 GB ✅ Runs comfortably
Mistral-7B-v0.1.Q5_K_S.gguf Q5_K_S 5.0 GB 7.0 GB ✅ Runs comfortably
Mistral-7B-v0.1.Q5_K_M.gguf Q5_K_M 5.1 GB 7.2 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · Q4_K_M
$ ollama run mistral-7b-v0-1-gguf

# pin the quantization explicitly
$ ollama run mistral-7b-v0-1-gguf-q4_k_m
est. VRAM 6.4 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
7.0 B
Context length
32,768
Licence
apache-2.0
First seen on the Hub
2024-02-03
Base model
Mistral-7B-v0.1
Training datasets
undisclosed
Added to our catalog
2026-10-19

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any text-generation model