NousResearch / Model details
NousCoder-14B
NousResearch/NousCoder-14B
About this model
NousResearch's NousCoder-14B is a competitive programming model derived from Qwen/Qwen3-14B. The model card says it was post-trained via reinforcement learning on 24k verifiable coding problems using 48 B200s over four days. According to the creator, it achieves a Pass@1 accuracy of 67.87% on LiveCodeBench v6 (08/01/2024 - 05/01/2025), compared with 60.79% for the Qwen3-14B baseline. The repository provides safetensors weights under the Apache 2.0 license. Hugging Face lists this as a fine-tuned derivative of Qwen3-14B.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- Qwen/Qwen3-14B
- Parameters
- 14.7683B
- Main repository formats
- safetensors
- License tag
- apache-2.0
- Languages
- Unknown
- Last updated
- 2026-01-05 · 22:38:14.000 UTC
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- fine-tunedsource tag:
base_model:finetune:Qwen/Qwen3-14B
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Qwen: Base model: Qwen/Qwen3-14B
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗safetensors
- No other explicitly linked versions recorded.
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/nousresearch-nouscoder-14b/)HTML
<a href="https://customclankers.com/models/nousresearch-nouscoder-14b/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
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Fine-tune it on your own data
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Make a smaller download (quantize)
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Merge it with another model
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Learn the techniques
- LLM Course ↗ ★ 84,667
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 627
- Likes
- 229
- Metadata checked
- 2026-10-25 · 12:12:34 UTC
- First seen in index
- 2026-10-25 · 12:12:34 UTC
- Source revision
- bea270969fc7edea385a15a492ebeec5cbc6d6a8
Source-card excerpt
Source model card excerpt: NousCoder-14B []( []( We introduce NousCoder-14B , a competitive programming model post-trained on Qwen3-14B via reinforcement learning. On LiveCodeBench v6 (08/01/2024 - 05/01/2025), we
From NousResearch/NousCoder-14B. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
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