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POCKET family cross-links + Image/Studio/Zimage
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Link POCKET family + cross-references
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A/B: raise max_tokens 256->512 so POCKET's reasoning + final answer complete (not cut)
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A/B: show reasoning again (remove no_think prefill); raise A/B max_tokens 96->256 so thinking completes
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A/B: one-sentence example prompts (stable tok/s, still fast)
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A/B: prefill empty <think></think> to force direct short answers (no reasoning) -> fast races
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A/B: apply /no_think so both models answer directly (no <think> block) -> short, fast races
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A/B: shorter-answer example prompts + cap max_tokens 200->96 for snappy races
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A/B is now the landing tab (swap order); add prism-ml/Bonsai-27B-gguf to models relation
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add Tab2 live A/B vs Bonsai (sequential: Bonsai first, then POCKET); 2nd llama-server for Bonsai Q1_0; README=BONSAI vs POCKET
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show live tok/s: backend streams predicted_per_second; UI displays live speed + final tok/s under each reply
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proxy via native /completion with manual ChatML prompt (bypass embedded template); surface backend errors
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use prebuilt llama.cpp release b10091 (qwen35moe, runtime CPU dispatch) - no compile (no OOM), no -march=native (no SIGILL)
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fix: cap compile parallelism (-j2) to avoid OOMKilled (exit137) during llama.cpp build
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rebuild backend on upstream llama.cpp master (qwen35moe support) via llama-server; FastAPI proxies; portable CPU build
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fix: portable CPU build (no -march=native/AVX512) -> stop SIGILL exit132; graceful load-error status
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fix: portable CPU build (no -march=native/AVX512) -> stop SIGILL exit132; graceful load-error status
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
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Upload requirements.txt with huggingface_hub
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Upload Dockerfile with huggingface_hub
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Upload index.html with huggingface_hub
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Upload app.py with huggingface_hub
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initial commit
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