solidrust / text-generation updated 1 year ago

Mistral-7B-Instruct-v0.3-AWQ

Name: Mistral-7B-Instruct-v0.3-AWQ
Author: solidrust

The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3.

Params

7.3 B

Context

32,768

Downloads 30d

198 K

Likes

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

Download history

tracking started — chart appears after 7 days of snapshots (4 recorded)

198 K downloads in the last 30 days

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-v0-3-awq
{
  "hf_id": "solidrust/Mistral-7B-Instruct-v0.3-AWQ",
  "params_b": 7.25,
  "context_length": 32768,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 198075,
  "vram_estimates": [
    { "quant": "i32", "gb": 6.2 }
  ],
  "updated_at": "2026-08-03T01:00:36Z"
}

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

Specifications

Architecture: MistralForCausalLM
Parameters: 7.3 B
Tensor type: I32
Context length: 32,768
Vocabulary: 32,768
Layers / heads: 32 / 32
Licence: apache-2.0
First seen on the Hub: 2024-05-23
Training datasets: undisclosed
Added to our catalog: 2026-08-03

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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