Mistral-7B-Instruct-v0.3-AWQ
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
229 K
Likes
11
Download history
daily snapshots · 50 days
▲ 152 K in the last 30 days (39.8%)
461 K229 K
Aug 23Sep 2Sep 12Sep 21
461 K172 K
Aug 3Aug 19Sep 5Sep 21
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 -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": 229067,
"vram_estimates": [
{ "quant": "i32", "gb": 6.2 }
],
"updated_at": "2026-08-03T01:00:36Z"
}
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 any text-generation model