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83.4
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Manav Majumdar
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smirki
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Tesslate/OmniCoder-9B-GGUF
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Introducing OmniCoder-9B We trained a 9B coding agent on 425K real agentic trajectories from Claude Opus 4.6, GPT-5.4, GPT-5.3-Codex, and Gemini 3.1 Pro across Claude Code, OpenCode, Codex, and Droid scaffolding. Results: - GPQA Diamond: 83.8 pass@1 (166/198), 86.4 pass@3 — above GPT-OSS-120B (80.1), Qwen3.5-9B (81.7), and Claude Haiku 4.5 (73) - AIME 2025: 90 pass@5 (27/30) - Terminal-Bench 2.0: 28.1 (25/89) — +8.1 points over base model The key insight: We trained on what frontier agents actually do, real tool calls, real error recovery, real edit diffs. The model learns read-before-write patterns, responds to LSP diagnostic, and applies minimal diffs instead of full rewrites. Base: Qwen3.5-9B. LoRA SFT, 4x H200, Axolotl, 99.35% packing efficiency. Weights: https://huggingface.co/Tesslate huggingface.co/Tesslate/OmniCoder-9B GGUF: huggingface.co/Tesslate/OmniCoder-9B-GGUF Apache 2.0. Run it locally.
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smirki
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smirki/UIGEN-T1.1-Qwen-14B-GGUF
15B
•
Updated
Feb 19, 2025
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32
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42
smirki/UIGEN-T1.1-Qwen-7B-Q8_0-GGUF
8B
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Updated
Feb 18, 2025
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2
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1
smirki/UIGEN-T1.1-Qwen-7B-Q4_K_M-GGUF
8B
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Updated
Feb 18, 2025
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2
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2
smirki/UIGEN-v1.01-7B-4bit
Text Generation
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15B
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Updated
Feb 18, 2025
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1
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1
smirki/UIGEN-T1.1-Qwen-7B
Text Generation
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8B
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Updated
Feb 17, 2025
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2
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2
smirki/UIGEN-7B-16bit
Text Generation
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8B
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Updated
Feb 16, 2025
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3
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5
smirki/model1-16bit
Text Generation
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8B
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Updated
Feb 16, 2025
smirki/autotrain-ner-8-86129142996
Token Classification
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0.1B
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Updated
Aug 31, 2023
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7
smirki/autotrain-t5-small-with-big-data-83042142160
Summarization
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77M
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Updated
Aug 17, 2023
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1
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