JustVugg
289befb0fd
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>
36 lines
589 B
Plaintext
36 lines
589 B
Plaintext
# ambienti python / cache
|
|
c/mio_env/
|
|
__pycache__/
|
|
**/__pycache__/
|
|
*.pyc
|
|
|
|
# binari compilati (si rigenerano con make / coli build)
|
|
c/glm
|
|
c/olmoe
|
|
c/iobench
|
|
c/tok_test
|
|
|
|
# oracoli tiny generati (make_glm_oracle.py) e dati benchmark scaricati
|
|
c/glm_tiny/
|
|
c/glm_tiny_i2/
|
|
c/glm_tiny_i4/
|
|
c/glm_tiny_mix/
|
|
c/bench/
|
|
|
|
# pesi modello / artefatti di run
|
|
*.safetensors
|
|
stats*.txt
|
|
*.log
|
|
|
|
# script di ricerca stadio-0 (esperimenti locali, non parte del motore)
|
|
/engine.py
|
|
/run.py
|
|
/validate_ref.py
|
|
/s0_costmodel.py
|
|
/s1_trace_hitrate.py
|
|
/s2_research.py
|
|
/quant_test.py
|
|
/profile_run.py
|
|
/sweep.py
|
|
c/models.json
|