Llama-3.2-1B-Instruct-Q8_0-GGUF
This model was converted to GGUF format from meta-llama/Llama-3.2-1B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Params
—
Context
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Downloads 30d
274 K
Likes
51
Download history
daily snapshots · 10 days391 K274 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 |
|---|---|---|---|---|
| llama-3.2-1b-instruct-q8_0.gguf | Q8_0 | 1.3 GB | 2.0 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$ ollama run llama-3-2-1b-instruct-q8-0-gguf # pin the quantization explicitly $ ollama run llama-3-2-1b-instruct-q8-0-gguf-q8_0
$ huggingface-cli download hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF-GGUF \
llama-3.2-1b-instruct-q8_0.gguf --local-dir .
$ llama-cli -m llama-3.2-1b-instruct-q8_0.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/llama-3-2-1b-instruct-q8-0-gguf
{
"hf_id": "hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 273691,
"vram_estimates": [
{ "quant": "Q8_0", "gb": 2.0 }
],
"updated_at": "2026-07-28T18:05:54Z"
}
Specifications
- First seen on the Hub
- 2024-09-25
- Base model
- Llama-3.2-1B-Instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
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