Woodpecker
llama.cpp
| Woodpecker | llama.cpp | |
|---|---|---|
| 2 | 791 | |
| 560 | 59,389 | |
| - | - | |
| 8.9 | 10.0 | |
| 5 months ago | 5 days ago | |
| Python | C++ | |
| - | MIT License |
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Woodpecker
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shinning the spotlight on CogVLM
Woodpecker: Hallucination Correction for Multimodal Large Language Models https://github.com/BradyFU/Woodpecker
- Woodpecker: Hallucination Correction for Multimodal Large Language Models
llama.cpp
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IBM Granite: A Family of Open Foundation Models for Code Intelligence
if you can compile stuff, then looking at llama.cpp (what ollama uses) is also interesting: https://github.com/ggerganov/llama.cpp
the server is here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
And you can search for any GGUF on huggingface
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Ask HN: Affordable hardware for running local large language models?
Yes, Metal seems to allow a maximum of 1/2 of the RAM for one process, and 3/4 of the RAM allocated to the GPU overall. There’s a kernel hack to fix it, but that comes with the usual system integrity caveats. https://github.com/ggerganov/llama.cpp/discussions/2182
- Xmake: A modern C/C++ build tool
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
What are some alternatives?
hallucination-leaderboard - Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
gpt4all - gpt4all: run open-source LLMs anywhere
Qwen - The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
GPT4RoI - GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
ggml - Tensor library for machine learning
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM