llama-3-8b-instruct-awq
Params
8.0 B
Context
8,192
Downloads 30d
173 K
Likes
31
Download history
tracking started — chart appears after 7 days of snapshots (1 recorded)173 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 | 5.7 GB | 8.0 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/llama-3-8b-instruct-awq
{
"hf_id": "casperhansen/llama-3-8b-instruct-awq",
"params_b": 8.03,
"context_length": 8192,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 172936,
"vram_estimates": [
{ "quant": "i32", "gb": 8.0 }
],
"updated_at": "2026-08-07T01:00:33Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 8.0 B
- Tensor type
- I32
- Context length
- 8,192
- Vocabulary
- 128,256
- Layers / heads
- 32 / 32
- First seen on the Hub
- 2024-04-18
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-07
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