Added recipe for qwen3.5-122b-int4-autoround, updated README
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README.md
33
README.md
@@ -146,6 +146,39 @@ Don't do it every time you rebuild, because it will slow down compilation times.
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For periodic maintenance, I recommend using a filter: `docker builder prune --filter until=72h`
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For periodic maintenance, I recommend using a filter: `docker builder prune --filter until=72h`
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### 2026-03-02
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#### Qwen3.5-122B-INT4-Autoround Support
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Added support for Intel/Qwen3.5-122B-A10B-int4-AutoRound model with a new mod `mods/fix-qwen3.5-autoround` that fixes a ROPE syntax error.
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Recipe available at `recipes/qwen3.5-122b-int4-autoround.yaml`.
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### 2026-02-26
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#### Daemon Mode Improvements
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- You can now use daemon mode (both solo and in the cluster) when exec action is specified.
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- Piping exec command to docker logs when running in daemon mode.
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### 2026-02-25
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#### HF_HOME Support
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Added support for using `$HF_HOME` environment variable as huggingface cache directory.
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#### Intel/Qwen3-Coder-Next-INT4-Autoround Mod
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Added a new mod for Intel/Qwen3-Coder-Next-INT4-Autoround model support: `mods/fix-qwen3-next-autoround`
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### 2026-02-21
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#### Minimax Reasoning Parser Update
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Changed reasoning parser in Minimax for better compatibility with modern clients (like coding tools).
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### 2026-02-18
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### 2026-02-18
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#### Completely Redesigned Build Process
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#### Completely Redesigned Build Process
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52
recipes/qwen3.5-122b-int4-autoround.yaml
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52
recipes/qwen3.5-122b-int4-autoround.yaml
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# Recipe: Qwen3.5-122B-A10B-INT4-Autoround
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# Qwen3.5-122B model in Intel INT4-Autoround quantization
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recipe_version: "1"
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name: Qwen3.5-122B-INT4-Autoround
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description: vLLM serving Qwen3.5-122B-INT4-Autoround
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# HuggingFace model to download (optional, for --download-model)
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model: Intel/Qwen3.5-122B-A10B-int4-AutoRound
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#solo_only: true
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# Container image to use
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container: vllm-node-tf5
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build_args:
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- --tf5
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# Mod required to fix ROPE syntax error
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mods:
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- mods/fix-qwen3.5-autoround
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# Default settings (can be overridden via CLI)
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defaults:
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port: 8000
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host: 0.0.0.0
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tensor_parallel: 2
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gpu_memory_utilization: 0.7
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max_model_len: 262144
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max_num_batched_tokens: 8192
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# Environment variables
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env:
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VLLM_MARLIN_USE_ATOMIC_ADD: 1
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# The vLLM serve command template
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command: |
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vllm serve Intel/Qwen3.5-122B-A10B-int4-AutoRound \
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--max-model-len {max_model_len} \
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--gpu-memory-utilization {gpu_memory_utilization} \
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--port {port} \
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--host {host} \
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--load-format fastsafetensors \
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--enable-prefix-caching \
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--enable-auto-tool-choice \
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--tool-call-parser qwen3_coder \
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--reasoning-parser qwen3 \
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--max-num-batched-tokens {max_num_batched_tokens} \
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--trust-remote-code \
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-tp {tensor_parallel} \
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--distributed-executor-backend ray
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