已保存的文件元数据(24 个文件)
历史来源元数据,不是文件的副本。校验和不能证明当前可用。
model-00002-of-00009.safetensors
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model-00001-of-00009.safetensors
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model-00006-of-00009.safetensors
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model-00003-of-00009.safetensors
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model-00008-of-00009.safetensors
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model-00004-of-00009.safetensors
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model-00005-of-00009.safetensors
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model-00007-of-00009.safetensors
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model-00009-of-00009.safetensors
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tokenizer.json
5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42
vocab.json
未记录 SHA-256
merges.txt
未记录 SHA-256
model.safetensors.index.json
未记录 SHA-256
tokenizer_config.json
未记录 SHA-256
LICENSE.txt
未记录 SHA-256
config.json
未记录 SHA-256
chat_template.jinja
未记录 SHA-256
.gitattributes
未记录 SHA-256
README.md
未记录 SHA-256
NOTICE.txt
未记录 SHA-256
preprocessor_config.json
未记录 SHA-256
video_preprocessor_config.json
未记录 SHA-256
generation_config.json
未记录 SHA-256
processor_config.json
未记录 SHA-256
已保存的模型卡(历史版本)
Bonsai-27B — AWQ 4-bit
Serve (sglang)
pip install sglang
python -m sglang.launch_server \
--model prism-ml/Bonsai-27B-AWQ-4bit \
--port 8000 \
--dtype bfloat16
Use
curl http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"prism-ml/Bonsai-27B-AWQ-4bit","messages":[{"role":"user","content":"Who are you?"}],"max_tokens":100}'
Multi-GPU (8× H100)
# TP=2 DP=4 — 4 replicas, each split across 2 GPUs (throughput sweet spot)
python -m sglang.launch_server \
--model prism-ml/Bonsai-27B-AWQ-4bit \
--tp-size 2 --dp-size 4 \
--load-balance-method total_tokens \
--port 8000 --dtype bfloat16
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