原文如下: Operator(opens in a new window)是一个可以转到Web为用户执行任务的Agent,而为它提供动力的正是CUA,这是一种过强化学习将GPT-4o的视觉能力与高级推理相结合的模型。CUA 经过训练,可以像人类一样与图形用户界面(GUI) 交互,即人们在屏幕上看到的按钮、菜单和文本字段。这使它能够灵活地执行数字任务,而...
1 llama2 repository:here dataset mmlu dataset structure RESULT command CUDA_VISIBLE_DEVICES=0 python src/evaluate.py \ --model_name_or_path ../llama/models_hf/7B \ --adapter_name_or_path ./FINE/llama2-7b-chat-alpaca_gpt4_single/checkpoint-20000 \ --template vanilla \ --finetuning_type...
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Model-Agnostic: Supports multiple AI models such as OpenAI, Anthropic, Gemini, Ollama, Groq, and Mistral, with an extensible interface for adding new models. Type-Safe Framework: Ensures robustness through structured response validation using Pydantic, even for streamed responses. ...
Model name: Meta-Llama-3.1-405B-Instruct Model type: chat-completions Model provider name: Meta Create a chat completion request The following example shows how you can create a basic chat completions request to the model. Python fromazure.ai.inference.modelsimportSystemMessage, UserMessage response...
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More from this author feature What is Llama? Meta AI’s family of large language models explained Mar 14, 202510 mins reviews Review: Zencoder has a vision for AI coding Mar 5, 20258 mins feature What is retrieval-augmented generation? More accurate and reliable LLMs ...
Update requests with ollama-python. Update with all valid parameters and values from https://github.com/ollama/ollama/blob/main/docs/modelfile.md Tests passed sdiazlor added 2 commits January 29, 2024 14:28 update: use ollama-python 1cb661a update: pyproject 7a1fecc sdiazlor linked...
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen2.5, Llama4, InternLM3, GLM4, Mistral, Yi1.5, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL3, Llava, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, DeepSeek-VL2
# Compile the model, default is F16# Then we get ggml-model-{OUTTYPE}.gguf as production# Please REPLACE $LLAMA_MODEL_LOCATION with your model locationpython3 convert.py$LLAMA_MODEL_LOCATION# Compile the model in specified outtypepython3 convert$LLAMA_MODEL_LOCATION--outtype q8_0# quantize...