Agentica · Code Models

DeepCoder 14B

Name: DeepCoder 14B
Author: Agentica

Agentica and Together AI's 14B code-reasoning model trained with reinforcement learning, reporting coding scores close to OpenAI o3-mini.

Run it locally

With Ollama installed, download and start the default version with:

ollama run deepcoder:14b

Variant	Download
deepcoder:14b	9.0GB
deepcoder:1.5b	1.1GB

Memory: About 9.0GB for the default deepcoder:14b version (4-bit)
Formats: Safetensors (Hugging Face), GGUF (Ollama, llama.cpp, LM Studio)

The download size is roughly the memory (RAM or GPU VRAM) needed to load a variant; allow extra for long contexts. See our hardware guide.

Overview

DeepCoder-14B-Preview was fine-tuned from DeepSeek-R1-Distill-Qwen-14B with distributed RL on verified coding problems; dataset, code and logs were released.

Highlights

14B parameters (plus 1.5B version)
RL-trained on verifiable coding tasks
Fully open recipe
MIT license

Typical uses

Local competitive-programming style coding and research.

Things to consider

Preview release; long reasoning traces.
Download sizes refer to the default quantized versions in the Ollama library; full-precision weights are larger.

Specifications are taken from the model card on Hugging Face, the Ollama library and the provider’s announcement. Benchmark results depend on evaluation settings; see how AI benchmarks work.

#Code Models #Open Weights #Local AI #Agentica

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