You can use llama.cpp to be the LLM. Note that you should be using relatively large models, because PaperQA2 requires following a lot of instructions. You won't get good performance with 7B models. The easiest way to get set-up is to download a llama file and execute it with -cb -...
修改value。修改gguf的模型头部信息（metadata）里的value：https://github.com/ggerganov/llama.cpp/bl...
LLama-Omni Training Code Recurrence(llama-omni训练代码复现) 1.根据LLama-omni给的方法进行环境安装(https://github.com/ictnlp/LLaMA-Omni) 2.wavs下是根据论文方法生成的100条数据(指令相同,模型用的Qwen,其他保持一致),用于阶段一和阶段二的训练
*** [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for llama-cpp-python Failed to build llama-cpp-python ERROR: Could not build wheels for llama-cpp-python, which is required to install pyproject.toml...
Deadsg pushed a commit to Deadsg/llama.cpp that referenced this pull request Dec 19, 2023 Merge pull request ggml-org#270 from gjmulder/auto-docker … Verified de8d9a8 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Reviewers ggerga...
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Olla
git clone https://github.com/crashr/gppm cd gppmEdit the following files to your needs:gppmd/config.yaml gppmd/llamacpp_configs/examples.yamlIn a separate terminal run nvidia-smi to monitor the llama.cpp instances we are going run:
Idea for GPU support: ggerganov/llama.cpp#915 Example of StableLM (GPT-NeoX) inference examples/gpt-neox Example of BERT inference skeskinen/bert.cpp Example of 💫 StarCoder inference examples/starcoder Example of MPT inference examples/mpt Example of Replit inference examples/replit Whisper ...
Llama 2 We are unlocking the power of large language models. Our latest version of Llama is now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly. ...
g1 powered by Llama3.1-70b creates reasoning chains, in principle a dynamic Chain of Thought, that allows the LLM to "think" and solve some logical problems that usually otherwise stump leading models. At each step, the LLM can choose to continue to another reasoning step, or provide a fin...