JustVugg
289befb0fd
coli: multi-model registry + picker (coli models / chat menu); README: MoE-only model roadmap (gpt-oss-120b next)
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Each architecture maps to its own engine binary (glm today; gptoss, qwenmoe
reserved). Registry in c/models.json (local, gitignored); chat shows a picker
when more than one model is installed. Dense models stay llama.cpp territory
- documented honestly in the README.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-07-07 12:59:56 +02:00
JustVugg
b71d3884f6
coli bench: self-contained (venv python + auto-fetch datasets); README calls for a quality run on faster hardware
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-07 07:29:52 +02:00
JustVugg
8d7fbef39c
README: today's engine work (integer kernels, MLA absorption, readahead, sampling, DSA status)
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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-07-06 20:24:18 +02:00
JustVugg
34fb900762
README: honest matmul-bound predictions (GFLOP math), updated sampling defaults
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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-07-06 19:40:27 +02:00
JustVugg
b2855c0da1
coli convert: one command does model + MTP head; README documents the full zero-to-chat path
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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-07-06 16:59:27 +02:00
Vincenzo
8e8d5fb02b
Update README.md
2026-07-05 23:22:23 +02:00
Vincenzo
ea27cd77fb
Update README.md
2026-07-05 23:18:00 +02:00
Vincenzo
1e33e9b17d
Update README.md
2026-07-05 23:16:58 +02:00
JustVugg
31d91b2c5b
README: TUI pixel-art hummingbird as SVG logo banner
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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-07-05 21:15:09 +02:00
JustVugg
20008742bf
README: try-it-on-better-hardware guide + predictions + support section; drop stage-0 research scripts from repo
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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-07-05 21:02:46 +02:00
JustVugg
1ae22a6135
colibrì: pure-C GLM-5.2 (744B MoE) engine with disk-streamed experts
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Engine (c/glm.c): MLA attention with compressed KV, sigmoid noaux_tc router,
int8/int4/int2 quant kernels (AVX2), per-layer LRU expert cache + pinned
hot-store, batch-union MoE, native MTP speculative decoding (lossless),
multi-stop + official chat template, RAM auto-budget from MemAvailable.
Tokenizer: byte-level BPE in C. Tooling: coli CLI, disk-safe FP8→int4
converter, tiny-random oracle validation (TF 32/32, greedy 20/20).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-07-05 20:57:25 +02:00
Vincenzo
a6deef8e44
Initial commit
2026-07-01 14:27:49 +02:00