Ternary-Bonsai-2-27B-gguf
Prism ML Website Whitepaper Demo & Examples Discord
Params
27.0 B
Context
—
Downloads 30d
1.6 M
Likes
2,977
Download history
daily snapshots · 53 days
▲ 2.8 M in the last 30 days (63.2%)
4.9 M1.6 M
Oct 12Oct 22Nov 1Nov 10
4.9 M406 K
Sep 19Oct 6Oct 24Nov 10
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 |
|---|---|---|---|---|
| Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf | Q8_0 | 0.6 GB | 5.2 GB | ✅ Runs comfortably |
| Ternary-Bonsai-2-27B-PTQ1_0.gguf | Q1_0 | 5.9 GB | 11.1 GB | ✅ Runs comfortably |
| Ternary-Bonsai-2-27B-Q2_0.gguf | Q2_0 | 7.6 GB | 12.9 GB | ✅ Runs comfortably |
| Ternary-Bonsai-2-27B-F16.gguf | GGUF | 53.8 GB | 63.7 GB | ❌ Won’t fit |
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 ternary-bonsai-2-27b-gguf # pin the quantization explicitly $ ollama run ternary-bonsai-2-27b-gguf-gguf
$ huggingface-cli download prism-ml/Ternary-Bonsai-2-27B-gguf-GGUF \
Ternary-Bonsai-2-27B-F16.gguf --local-dir .
$ llama-cli -m Ternary-Bonsai-2-27B-F16.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/ternary-bonsai-2-27b-gguf
{
"hf_id": "prism-ml/Ternary-Bonsai-2-27B-gguf",
"params_b": 27.00,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 1641591,
"vram_estimates": [
{ "quant": "GGUF", "gb": 63.7 },
{ "quant": "Q2_0", "gb": 12.9 }
],
"updated_at": "2026-11-05T01:00:06Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.075
input / 1M
$0.50
output / 1M
$0.038
cached input / 1M
$0.58
1M in + 1M out
- Context window
- 262,144 tokens
- Max output
- 32,768 tokens
- Providers
- 1
- Cheapest provider
- Darkbloom · $0.075 / $0.50
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Parameters
- 27.0 B
- Licence
- apache-2.0
- First seen on the Hub
- 2026-09-16
- Base model
- Qwen3.8-27B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-19
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model