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LJTSG
/
npu-forge
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0
Text Generation
amd
ryzen-ai
npu
xdna2
fastflowlm
strix-halo
lora
fine-tuning
tools
License:
mit
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npu-forge
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5 commits
LJTSG
v1.0: PROVEN end-to-end β forge tune produces coherent, in-band NPU models @ 41.9 tok/s. Q4_K_M fix (snags 9/10), 10-wall ledger.
89efab4
verified
23 days ago
bin
v0.3: NPU-validated voice ear (111KB head + trainer + runtime), start.bat menu, 47.8 tok/s baseline, snag #8
23 days ago
modal
v1.0: PROVEN end-to-end β forge tune produces coherent, in-band NPU models @ 41.9 tok/s. Q4_K_M fix (snags 9/10), 10-wall ledger.
23 days ago
.gitattributes
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1.52 kB
initial commit
24 days ago
README.md
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6.47 kB
v1.0: PROVEN end-to-end β forge tune produces coherent, in-band NPU models @ 41.9 tok/s. Q4_K_M fix (snags 9/10), 10-wall ledger.
23 days ago
forge.bat
Safe
36 Bytes
forge v0.2: one-command tune->NPU pipeline (183s proven), forge CLI, snag ledger, frozen known-good stack
24 days ago
forge.js
Safe
7.11 kB
forge v0.2: one-command tune->NPU pipeline (183s proven), forge CLI, snag ledger, frozen known-good stack
24 days ago
register-admin.bat
Safe
327 Bytes
NPU-Forge v0.1: permanent custom-model registry for FastFlowLM on Ryzen AI NPUs
24 days ago
registry.example.json
Safe
684 Bytes
NPU-Forge v0.1: permanent custom-model registry for FastFlowLM on Ryzen AI NPUs
24 days ago
start.bat
Safe
232 Bytes
v0.3: NPU-validated voice ear (111KB head + trainer + runtime), start.bat menu, 47.8 tok/s baseline, snag #8
23 days ago