tetu-AI/Tetu-Code-2

text-generation model by tetu-AI

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Model card & documentation

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A small coding agent trained from scratch, built to work in the terminal through OpenCode. Têtu Code 2 is an independent research model with its own architecture. No weights from any other model went into it. A larger open model (Qwen3.6-35B-A3B, Apache 2.0) was used only as a teacher: it wrote demonstrations, and a program checked each one before training. The whole project ran on one consumer GPU (RTX 5070, 12 GB) plus about 30 hours of rented cloud GPU. What it does: server keeps the cache between turns and stops repeated identical calls. All results come from measurements we had already made. Nothing was re-run for this page. setup gave HumanEval+ 14.6 and MBPP+ 30.7, so allow for about ±1.5…

tetu-AI/Tetu-Code-2 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-12T09:52:15.077Z

Inside the original model card — Document outline
  1. Têtu Code 2
  2. Model summary
  3. Training
  4. Evaluation
  5. Code generation (EvalPlus)
  6. As an agent
  7. Limitations
  8. Usage
  9. License
  10. Citation

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

tetu-AI/Tetu-Code-2 is a text-generation model repository published by tetu-AI on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
1,154,480,427
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-11-12T06:40:08.000Z
Last modified
2026-11-12T06:41:40.000Z

Compatibility and lineage

Reported languages: en, fr, code

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

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Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-12T06:57:10.640Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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