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ramankrishna10/npc-fast-1.7b-gguf
npc-fast-1.7b-gguf is a machine learning model from ramankrishna10. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
GGUF conversions of ramankrishna10/npc-fast-1.7b for llama.cpp / Ollama / LM Studio / local inference.
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From the Hugging Face model README
GGUF conversions of ramankrishna10/npc-fast-1.7b
for llama.cpp / Ollama / LM Studio / local inference.
| File | Size | Precision | Best for |
|---|---|---|---|
npc-fast-1.7b-q4_k_m.gguf | 1.1 GB | Q4_K_M | laptops, CPU inference, fastest |
npc-fast-1.7b-q8_0.gguf | 1.8 GB | Q8_0 | best quality at quantized size |
npc-fast-1.7b-f16.gguf | 3.4 GB | F16 | lossless, reference |
See the main repo for training recipe, evaluation results, and honest limitation disclosures (short version: trained to 16K context, 128K YaRN scaling is unvalidated).
./build/bin/llama-cli \
-m npc-fast-1.7b-q4_k_m.gguf \
-sys "You are NPC Fast. Output exactly one JSON object with fields route and reason." \
-p "What is 2+2?" \
-n 60 --temp 0.0
# Create a Modelfile:
cat > Modelfile << "MOD"
FROM ./npc-fast-1.7b-q4_k_m.gguf
PARAMETER temperature 0.0
PARAMETER num_predict 60
SYSTEM "You are NPC Fast, a routing model. Output exactly one JSON object with fields route and reason."
MOD
ollama create npc-fast -f Modelfile
ollama run npc-fast "Build a DCF for TSLA."
See the main repo.
Short version: decide between self (handle locally) and npc_fin
(escalate to a 32B finance specialist) for every user request, then emit
{"route": "self"|"npc_fin", "reason": "<short>"}.
Built by Bottensor (a Falcon Hash company), creator: dude.npc.
Base: HuggingFaceTB/SmolLM2-1.7B-Instruct.
If you use this model or build on its training recipe, please cite the accompanying preprint:
Bachu, R. K. (2026). NPC Fast 1.7B: Building a Usable Small Model on a Single H100. Zenodo. https://doi.org/10.5281/zenodo.19771040
@misc{bachu2026npcfast,
title = {NPC Fast 1.7B: Building a Usable Small Model on a Single H100},
author = {Bachu, Rama Krishna},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.19771040},
url = {https://doi.org/10.5281/zenodo.19771040},
note = {Preprint},
}