Yi-Coder-9B-Chat-GGUF
MaziyarPanahi/Yi-Coder-9B-Chat-GGUF contains GGUF format model files for 01-ai/Yi-Coder-9B-Chat.
Params
—
Context
—
Downloads 30d
228 K
Likes
9
Download history
daily snapshots · 9 days228 K221 K
Sep 12Sep 15Sep 18Sep 20
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 |
|---|---|---|---|---|
| Yi-Coder-9B-Chat.IQ1_S.gguf | IQ1_S | 2.0 GB | 2.7 GB | ✅ Runs comfortably |
| Yi-Coder-9B-Chat.IQ1_M.gguf | IQ1_M | 2.2 GB | 2.9 GB | ✅ Runs comfortably |
| Yi-Coder-9B-Chat.IQ2_XS.gguf | IQ2_XS | 2.7 GB | 3.5 GB | ✅ Runs comfortably |
| Yi-Coder-9B-Chat.Q2_K.gguf | Q2_K | 3.4 GB | 4.2 GB | ✅ Runs comfortably |
| Yi-Coder-9B-Chat.IQ3_XS.gguf | IQ3_XS | 3.7 GB | 4.6 GB | ✅ Runs comfortably |
| Yi-Coder-9B-Chat.Q3_K_M.gguf | Q3_K_M | 4.3 GB | 5.3 GB | ✅ Runs comfortably |
| Yi-Coder-9B-Chat.Q3_K_L.gguf | Q3_K_L | 4.7 GB | 5.7 GB | ✅ Runs comfortably |
| Yi-Coder-9B-Chat.IQ4_XS.gguf | IQ4_XS | 4.8 GB | 5.8 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 yi-coder-9b-chat-gguf # pin the quantization explicitly $ ollama run yi-coder-9b-chat-gguf-iq1_m
$ huggingface-cli download MaziyarPanahi/Yi-Coder-9B-Chat-GGUF-GGUF \
Yi-Coder-9B-Chat.IQ1_M.gguf --local-dir .
$ llama-cli -m Yi-Coder-9B-Chat.IQ1_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/yi-coder-9b-chat-gguf
{
"hf_id": "MaziyarPanahi/Yi-Coder-9B-Chat-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 227646,
"vram_estimates": [
{ "quant": "IQ1_M", "gb": 2.9 },
{ "quant": "IQ1_S", "gb": 2.7 }
],
"updated_at": "2026-09-12T01:00:29Z"
}
Specifications
- First seen on the Hub
- 2024-09-04
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-12
Compare with any text-generation model
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