Parable-Granite-4.1-3B-Claude-Fable-5-GGUF
> ~3 GB of RAM is all you need. Laptop, old GPU, Raspberry-Pi-class boxes with swap — the Q4 build runs > anywhere. One command and you have a private, offline reasoning model on your machine: > > bash > ollama run hf.co/AnkitAI/Parable-Granite-4.1-3B-Claude-Fable-5-GGUF:Q4KM >
Params
3.0 B
Context
131,072
Downloads 30d
163 K
Likes
4
Download history
daily snapshots · 87 days
▲ 32 K in the last 30 days (16.5%)
187 K161 K
Oct 12Oct 22Nov 1Nov 10
398 K161 K
Aug 16Sep 14Oct 13Nov 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 |
|---|---|---|---|---|
| Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-Q4_K_M.gguf | Q4_K_M | 2.1 GB | 3.3 GB | ✅ Runs comfortably |
| Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-Q5_K_M.gguf | Q5_K_M | 2.4 GB | 3.6 GB | ✅ Runs comfortably |
| Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-Q6_K.gguf | Q6_K | 2.8 GB | 4.0 GB | ✅ Runs comfortably |
| Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-Q8_0.gguf | Q8_0 | 3.6 GB | 4.9 GB | ✅ Runs comfortably |
| Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-F16.gguf | GGUF | 6.8 GB | 8.4 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 parable-granite-4-1-3b-claude-fable-5-gguf # pin the quantization explicitly $ ollama run parable-granite-4-1-3b-claude-fable-5-gguf-q4_k_m
$ huggingface-cli download AnkitAI/Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-GGUF \
Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-Q4_K_M.gguf --local-dir .
$ llama-cli -m Parable-Granite-4.1-3B-Claude-Fable-5-GGUF-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/parable-granite-4-1-3b-claude-fable-5-gguf
{
"hf_id": "AnkitAI/Parable-Granite-4.1-3B-Claude-Fable-5-GGUF",
"params_b": 3.00,
"context_length": 131072,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 163019,
"vram_estimates": [
{ "quant": "GGUF", "gb": 8.4 },
{ "quant": "Q4_K_M", "gb": 3.3 }
],
"updated_at": "2026-09-23T01:00:26Z"
}
Specifications
- Parameters
- 3.0 B
- Context length
- 131,072
- Licence
- apache-2.0
- First seen on the Hub
- 2026-07-13
- Base model
- granite-4.1-3b
- Training datasets
- AnkitAI/parable-corpus-v2, Glint-Research/Fable-5-traces, Roman1111111/gpt5.5-terminal
- Added to our catalog
- 2026-08-16
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model