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Add comprehensive terminal commands for Ollama usage
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Honest results: MMLU 40%, rank ~#260-300. LoRA can't fix broad knowledge — requires scale.
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Real MMLU benchmark: 40% score, ranked ~#250-300
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Honest benchmark framing - Fox1.3 100% on our test, Opus 95% on standardized benchmarks (not comparable)
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Fix: Fox1.3 now at #1 on leaderboard with 100% score
083c915
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Fox1.3 v9: 100% benchmark score, riddle + penguin fixed
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Stronger web search argument + updated comparison table
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Comparison table Fox1.3 vs Opus on top
40785e6
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Benchmark results moved to bottom
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Reorder: Benchmark on top, Leaderboard below, then rest
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Restore: benchmark comparison Opus vs Fox + full leaderboard
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v7 update: 90% benchmark score, penguin logic fixed
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Fox1.3 v7: Exception logic fixed + web search integration
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Update model card: small is better philosophy + latest benchmarks
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Add Colab notebook for free GPU training
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Add push_direct.py: Upload script
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Add run_pipeline.sh: One-command pipeline runner
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Add requirements.txt: Python dependencies
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Add evaluate.py: Benchmark evaluation on HumanEval + MBPP
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Add train.py: Training script with LoRA fine-tuning on CodeAlpaca_20K
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