Agents-A1-4B-Q8_0-GGUF
> [!Note] > This repository contains model weights and configuration files for Agents-A1 in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, etc.
Params
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Context
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Downloads 30d
230 K
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Download history
daily snapshots · 20 days232 K188 K
Sep 2Sep 8Sep 15Sep 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 |
|---|---|---|---|---|
| Agents-A1-4B-mmproj.gguf | GGUF | 0.7 GB | 1.2 GB | ✅ Runs comfortably |
| Agents-A1-4B-Q8_0.gguf | Q8_0 | 4.5 GB | 5.4 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$ ollama run agents-a1-4b-q8-0-gguf # pin the quantization explicitly $ ollama run agents-a1-4b-q8-0-gguf-q8_0
$ huggingface-cli download InternScience/Agents-A1-4B-Q8_0-GGUF-GGUF \
Agents-A1-4B-Q8_0.gguf --local-dir .
$ llama-cli -m Agents-A1-4B-Q8_0.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/agents-a1-4b-q8-0-gguf
{
"hf_id": "InternScience/Agents-A1-4B-Q8_0-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 229950,
"vram_estimates": [
{ "quant": "Q8_0", "gb": 5.4 },
{ "quant": "GGUF", "gb": 1.2 }
],
"updated_at": "2026-09-02T01:00:41Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-07-13
- Base model
- Agents-A1-4B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-02
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model