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Diffstat (limited to 'snippets/hyperstack/hyperstack-vm.toml')
| -rw-r--r-- | snippets/hyperstack/hyperstack-vm.toml | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/snippets/hyperstack/hyperstack-vm.toml b/snippets/hyperstack/hyperstack-vm.toml index cd16615..e23294f 100644 --- a/snippets/hyperstack/hyperstack-vm.toml +++ b/snippets/hyperstack/hyperstack-vm.toml @@ -123,13 +123,14 @@ tensor_parallel_size = 1 tool_call_parser = "" # OpenAI GPT-OSS 120B — powerful MoE (5.1B active / 117B total, MXFP4), ~65 GB on A100. -# MXFP4 KV cache is very compact: vLLM allocates 168K token blocks (10560×16) at 0.92 util. -# 163840 (160K) stays within physical KV capacity; handles long Claude Code sessions (135K+). +# Hard architecture limit: max_position_embeddings=131072 in model config.json. +# 131072 is the absolute ceiling — exceeding it causes NaN or CUDA OOB errors. +# For sessions approaching this limit, start a fresh opencode conversation. # tool_call_parser = "" disables --enable-auto-tool-choice (same reason as gpt-oss-20b). [vllm.presets.gpt-oss-120b] model = "openai/gpt-oss-120b" container_name = "vllm_gpt_oss_120b" -max_model_len = 163840 +max_model_len = 131072 gpu_memory_utilization = 0.92 tensor_parallel_size = 1 tool_call_parser = "" |