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feat(serve): set APEX I-Compact as default, harden benchmark workflow

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Serving:
- make serve now launches Claude-distilled APEX 35B-A3B (16GB) with 2
  parallel slots and 256K context as the daily driver
- add serve-custom for ad-hoc model testing
- add flush-gpu to reclaim unified memory after stuck runs

Benchmarks:
- default Vulkan-only backends (ROCm trails at long context)
- add --backends filter to run-baseline.sh
- fix backend filter substring bug (grep -qFx for exact line match)
- fix model filter regex metacharacter bug (grep -qiF for literal)
- respect --tg in long-context tests instead of hardcoded n=32

ROCm bump to 7.2.1 (kernel 6.18.4+ patch); keep 7.2 as optional.

Catalog:
- add mudler APEX I-Compact (Claude-distilled 35B, 17GB)
- add 0xSero REAP-40 (pruned 122B-A10B, 46GB)
- update download instructions: hf download (huggingface-cli is gone)
This commit is contained in:
Felipe Cardoso
2026-04-13 01:11:46 +02:00
parent 474d94a07e
commit 15bb6a8ed9
7 changed files with 36 additions and 12 deletions
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6
configs/models.conf
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@@ -2,7 +2,7 @@
# Format: NAME|HF_REPO|FILE|SIZE_GB|CATEGORY|DESCRIPTION
#
# Categories: smoke, standard, moe, dense
# Download with: huggingface-cli download REPO FILE --local-dir /data/models/llms/REPO
# Download with: hf download REPO FILE --local-dir /data/models/llms/REPO
# ── Smoke tests (quick, small) ───────────────────────────
qwen2.5-0.5b-q8|lmstudio-community/Qwen2.5-0.5B-Instruct-GGUF|Qwen2.5-0.5B-Instruct-Q8_0.gguf|0.4|smoke|Tiny Qwen2.5, Q8
@@ -26,11 +26,15 @@ qwen3.5-27b-opus-distill|Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distille
# ── MoE models (fast generation, best for 64GB) ─────────
qwen3.5-35b-a3b-q4|unsloth/Qwen3.5-35B-A3B-GGUF|Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf|21|moe|MoE 35B, 3B active, Unsloth dynamic XL
qwen3.5-35b-a3b-q8|unsloth/Qwen3.5-35B-A3B-GGUF|Qwen3.5-35B-A3B-Q8_0.gguf|37|moe|MoE 35B Q8, near-full precision
qwen3.5-35b-a3b-apex-compact|mudler/Qwen3.5-35B-A3B-Claude-Distilled-APEX-GGUF|Qwen3.5-35B-A3B-Claude-Distilled-APEX-I-Compact.gguf|17|moe|MoE 35B Claude-distilled APEX, I-Compact quant
nemotron-cascade2-q8|bartowski/nvidia_Nemotron-Cascade-2-30B-A3B-GGUF|nvidia_Nemotron-Cascade-2-30B-A3B-Q8_0.gguf|31|moe|Nemotron Cascade 2, Mamba-2 hybrid (replaces Nano)
# ── Coding models ─────────────────────────────────────────
qwen3-coder-30b-a3b-q6|unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF|Qwen3-Coder-30B-A3B-Instruct-UD-Q6_K_XL.gguf|26|moe|Agentic coding MoE, pure Transformer
qwen3-coder-next-q3|unsloth/Qwen3-Coder-Next-GGUF|Qwen3-Coder-Next-UD-Q3_K_XL.gguf|34|moe|80B MoE coder, >70% SWE-bench, hybrid DeltaNet
# ── Pruned MoE (REAP expert pruning) ─────────────────────
qwen3.5-122b-a10b-reap40-q4|0xSero/Qwen3.5-122B-A10B-REAP-40-GGUF|Qwen3.5-122B-A10B-REAP-40-Q4_K_M.gguf|46|moe|122B MoE pruned to 40 experts, 10B active, Q4_K_M
# ── Draft models (speculative decoding) ───────────────────
qwen3.5-0.8b-q8-draft|unsloth/Qwen3.5-0.8B-GGUF|Qwen3.5-0.8B-Q8_0.gguf|0.8|draft|Draft for Qwen3.5 speculative decoding