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DOC: update new models in README and doc (#2761)
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Original file line number | Diff line number | Diff line change |
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.. _models_llm_cogagent: | ||
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======================================== | ||
cogagent | ||
======================================== | ||
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- **Context Length:** 4096 | ||
- **Model Name:** cogagent | ||
- **Languages:** en, zh | ||
- **Abilities:** chat, vision | ||
- **Description:** The CogAgent-9B-20241220 model is based on GLM-4V-9B, a bilingual open-source VLM base model. Through data collection and optimization, multi-stage training, and strategy improvements, CogAgent-9B-20241220 achieves significant advancements in GUI perception, inference prediction accuracy, action space completeness, and task generalizability. | ||
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Specifications | ||
^^^^^^^^^^^^^^ | ||
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Model Spec 1 (pytorch, 9 Billion) | ||
++++++++++++++++++++++++++++++++++++++++ | ||
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- **Model Format:** pytorch | ||
- **Model Size (in billions):** 9 | ||
- **Quantizations:** 4-bit, 8-bit, none | ||
- **Engines**: Transformers | ||
- **Model ID:** THUDM/cogagent-9b-20241220 | ||
- **Model Hubs**: `Hugging Face <https://huggingface.co/THUDM/cogagent-9b-20241220>`__, `ModelScope <https://modelscope.cn/models/ZhipuAI/cogagent-9b-20241220>`__ | ||
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Execute the following command to launch the model, remember to replace ``${quantization}`` with your | ||
chosen quantization method from the options listed above:: | ||
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xinference launch --model-engine ${engine} --model-name cogagent --size-in-billions 9 --model-format pytorch --quantization ${quantization} | ||
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.. _models_llm_marco-o1: | ||
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======================================== | ||
marco-o1 | ||
======================================== | ||
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- **Context Length:** 32768 | ||
- **Model Name:** marco-o1 | ||
- **Languages:** en, zh | ||
- **Abilities:** chat, tools | ||
- **Description:** Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions | ||
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Specifications | ||
^^^^^^^^^^^^^^ | ||
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Model Spec 1 (pytorch, 7 Billion) | ||
++++++++++++++++++++++++++++++++++++++++ | ||
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- **Model Format:** pytorch | ||
- **Model Size (in billions):** 7 | ||
- **Quantizations:** 4-bit, 8-bit, none | ||
- **Engines**: vLLM, Transformers (vLLM only available for quantization none) | ||
- **Model ID:** AIDC-AI/Marco-o1 | ||
- **Model Hubs**: `Hugging Face <https://huggingface.co/AIDC-AI/Marco-o1>`__, `ModelScope <https://modelscope.cn/models/AIDC-AI/Marco-o1>`__ | ||
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Execute the following command to launch the model, remember to replace ``${quantization}`` with your | ||
chosen quantization method from the options listed above:: | ||
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xinference launch --model-engine ${engine} --model-name marco-o1 --size-in-billions 7 --model-format pytorch --quantization ${quantization} | ||
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Model Spec 2 (ggufv2, 7 Billion) | ||
++++++++++++++++++++++++++++++++++++++++ | ||
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- **Model Format:** ggufv2 | ||
- **Model Size (in billions):** 7 | ||
- **Quantizations:** Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_0, Q5_1, Q5_K_M, Q5_K_S, Q6_K, Q8_0 | ||
- **Engines**: llama.cpp | ||
- **Model ID:** QuantFactory/Marco-o1-GGUF | ||
- **Model Hubs**: `Hugging Face <https://huggingface.co/QuantFactory/Marco-o1-GGUF>`__, `ModelScope <https://modelscope.cn/models/QuantFactory/Marco-o1-GGUF>`__ | ||
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Execute the following command to launch the model, remember to replace ``${quantization}`` with your | ||
chosen quantization method from the options listed above:: | ||
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xinference launch --model-engine ${engine} --model-name marco-o1 --size-in-billions 7 --model-format ggufv2 --quantization ${quantization} | ||
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