TheBloke / text-generation updated 2 years ago

Mistral-7B-Instruct-v0.2-AWQ

Name: Mistral-7B-Instruct-v0.2-AWQ
Author: TheBloke

Chat & support: TheBloke's Discord server Want to contribute? TheBloke's Patreon page TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z)

Params

7.2 B

Context

32,768

Downloads 30d

323 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

323 K233 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

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

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	i32	4.2 GB	6.2 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 32K ctx	4.2 GB	9.4 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

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/mistral-7b-instruct-v0-2-awq
{
  "hf_id": "TheBloke/Mistral-7B-Instruct-v0.2-AWQ",
  "params_b": 7.24,
  "context_length": 32768,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 323113,
  "vram_estimates": [
    { "quant": "i32", "gb": 6.2 }
  ],
  "updated_at": "2026-07-28T18:07:32Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: MistralForCausalLM
Parameters: 7.2 B
Tensor type: I32
Context length: 32,768
Vocabulary: 32,000
Layers / heads: 32 / 32
Licence: apache-2.0
First seen on the Hub: 2023-12-11
Base model: Mistral-7B-Instruct-v0.2
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Mistral-7B-Instruct-v0.2 mistralai 1.3 M

Compare with

Qwen3-8B 16.3 M Qwen2.5-7B-Instruct 12.1 M Qwen3.6-35B-A3B-NVFP4 11.3 M Llama-3.1-8B-Instruct 8.0 M Qwen2.5-7B-Instruct-AWQ 4.6 M granite-4.1-8b 4.2 M

Appears in

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