Phi-3.5-mini-instruct-GGUF
MaziyarPanahi/Phi-3.5-mini-instruct-GGUF contains GGUF format model files for microsoft/Phi-3.5-mini-instruct.
Params
—
Context
—
Downloads 30d
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Likes
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Download history
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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 |
|---|---|---|---|---|
| Phi-3.5-mini-instruct.IQ1_S.gguf | IQ1_S | 0.8 GB | 1.4 GB | ✅ Runs comfortably |
| Phi-3.5-mini-instruct.IQ1_M.gguf | IQ1_M | 0.9 GB | 1.5 GB | ✅ Runs comfortably |
| Phi-3.5-mini-instruct.IQ2_XS.gguf | IQ2_XS | 1.2 GB | 1.8 GB | ✅ Runs comfortably |
| Phi-3.5-mini-instruct.Q2_K.gguf | Q2_K | 1.4 GB | 2.1 GB | ✅ Runs comfortably |
| Phi-3.5-mini-instruct.IQ3_XS.gguf | IQ3_XS | 1.6 GB | 2.3 GB | ✅ Runs comfortably |
| Phi-3.5-mini-instruct.Q3_K_M.gguf | Q3_K_M | 2.0 GB | 2.7 GB | ✅ Runs comfortably |
| Phi-3.5-mini-instruct.IQ4_XS.gguf | IQ4_XS | 2.1 GB | 2.8 GB | ✅ Runs comfortably |
| Phi-3.5-mini-instruct.Q3_K_L.gguf | Q3_K_L | 2.1 GB | 2.8 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 phi-3-5-mini-instruct-gguf # pin the quantization explicitly $ ollama run phi-3-5-mini-instruct-gguf-iq1_m
$ huggingface-cli download MaziyarPanahi/Phi-3.5-mini-instruct-GGUF-GGUF \
Phi-3.5-mini-instruct.IQ1_M.gguf --local-dir .
$ llama-cli -m Phi-3.5-mini-instruct.IQ1_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/phi-3-5-mini-instruct-gguf
{
"hf_id": "MaziyarPanahi/Phi-3.5-mini-instruct-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 183313,
"vram_estimates": [
{ "quant": "IQ1_M", "gb": 1.5 },
{ "quant": "IQ1_S", "gb": 1.4 }
],
"updated_at": "2026-08-20T01:00:39Z"
}
Specifications
- First seen on the Hub
- 2024-08-20
- Base model
- Phi-3.5-mini-instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-20
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model