Donato Capitella
110 rader
3.3 KiB
Python
110 rader
3.3 KiB
Python
MODEL_TABLE = {
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# 1. Llama 3.1 8B Instruct
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# MAD uses 131k tokens. We scale to 32k for 32GB VRAM safety.
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"meta-llama/Meta-Llama-3.1-8B-Instruct": {
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"trust_remote": False,
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"valid_tp": [1, 2],
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"max_num_seqs": "64", # Strix Halo Optimized (Bus Batch Scale)
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"max_tokens": "32768"
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},
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"google/gemma-3-12b-it": {
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"trust_remote": False,
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"enforce_eager": True,
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"valid_tp": [1, 2],
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"max_num_seqs": "64",
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"max_tokens": "32768"
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},
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# 2. GPT-OSS 20B (MXFP4)
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# MAD Row 0 uses 8192. We match this exactly.
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"openai/gpt-oss-20b": {
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"trust_remote": True,
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"valid_tp": [1, 2],
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"max_num_seqs": "64",
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"max_tokens": "8192"
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},
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"openai/gpt-oss-120b": {
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"trust_remote": True,
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"valid_tp": [1],
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"max_num_seqs": "16",
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"max_tokens": "8192"
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},
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"Qwen/Qwen3-14B-AWQ": {
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"trust_remote": True,
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"valid_tp": [1], # Too big for single GPU
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"max_num_seqs": "64", # Strix Halo Optimized
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"max_tokens": "16384", # Lower batch size because Eager mode is CPU intensive
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"enforce_eager": False,
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"env": {"VLLM_USE_TRITON_AWQ": "1"} # Fixes "Unsupported Hardware" error
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},
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# 4. Qwen 30B 4-bit
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"btbtyler09/Qwen3-Coder-30B-A3B-Instruct-gptq-4bit": {
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"trust_remote": True,
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"enforce_eager": False,
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"valid_tp": [1, 2],
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"max_num_seqs": "64",
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"max_tokens": "32768"
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},
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"btbtyler09/Qwen3-Coder-30B-A3B-Instruct-gptq-8bit": {
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"trust_remote": True,
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"enforce_eager": False,
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"valid_tp": [1, 2],
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"max_num_seqs": "64",
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"max_tokens": "32768"
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},
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"zai-org/GLM-4.7-Flash": {
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"trust_remote": True,
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"enforce_eager": False,
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"valid_tp": [1, 2],
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"max_num_seqs": "64",
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"max_tokens": "32768",
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},
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# 5. Qwen 80B AWQ
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# Size: ~48GB. Fits on 2x32GB (64GB). Leftover for Cache: ~16GB.
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# Config: 20k ctx fits in that cache. Eager mode required for stability.
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"dazipe/Qwen3-Next-80B-A3B-Instruct-GPTQ-Int4A16": {
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"trust_remote": True,
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"valid_tp": [1], # Too big for single GPU
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"max_num_seqs": "64", # Large Model / Bandwidth Constrained
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"max_tokens": "16384", # Lower batch size because Eager mode is CPU intensive
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"enforce_eager": True,
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"env": {"VLLM_USE_TRITON_AWQ": "1"} # Fixes "Unsupported Hardware" error
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},
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"mratsim/MiniMax-M2.5-BF16-INT4-AWQ": {
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"trust_remote": True,
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"valid_tp": [2],
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"max_num_seqs": "64",
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"max_tokens": "16384",
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"enforce_eager": False,
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"env": {"VLLM_USE_TRITON_AWQ": "1"} # Fixes "Unsupported Hardware" error
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},
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}
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MODELS_TO_RUN = [
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"meta-llama/Meta-Llama-3.1-8B-Instruct",
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"google/gemma-3-12b-it",
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"Qwen/Qwen3-14B-AWQ",
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"openai/gpt-oss-20b",
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"openai/gpt-oss-120b",
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"zai-org/GLM-4.7-Flash",
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"btbtyler09/Qwen3-Coder-30B-A3B-Instruct-gptq-4bit",
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"btbtyler09/Qwen3-Coder-30B-A3B-Instruct-gptq-8bit",
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"dazipe/Qwen3-Next-80B-A3B-Instruct-GPTQ-Int4A16",
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"mratsim/MiniMax-M2.5-BF16-INT4-AWQ",
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]
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# Hardware / Global Defaults
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GPU_UTIL = "0.90"
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OFF_NUM_PROMPTS = 200 # Increased for Strix Halo (Steady State Saturation)
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OFF_FORCED_OUTPUT = "512"
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DEFAULT_BATCH_TOKENS = "8192"
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