starcoder.cpp
llama.cpp
starcoder.cpp | llama.cpp | |
---|---|---|
3 | 782 | |
437 | 58,425 | |
1.6% | - | |
4.8 | 10.0 | |
9 months ago | 4 days ago | |
C | C++ | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
starcoder.cpp
-
I use chatGPT for hours everyday and can say 100% it's been nerfed over the last month or so. As an example it can't solve the same types of css problems that it could before. Imagine if you were talking to someone everyday and their iq suddenly dropped 20%, you'd notice. People are noticing.
Then, you'll need Starcoder cpp (NOT LLaMA cpp)
-
What coding llm is the best?
I'm talking about https://github.com/bigcode-project/starcoder.cpp/tree/main specifically. It is just a command line utility which is why I was wondering if anyone knows of a better way of running it.
-
Is there such a thing as local Llamas integrated into VSCode?
starcoder.cpp
llama.cpp
-
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
-
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
-
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
-
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
-
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?
autodoc - Experimental toolkit for auto-generating codebase documentation using LLMs
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
locai - Connect to Kobold API through VS Code
gpt4all - gpt4all: run open-source LLMs anywhere
chat-with-gpt - An open-source ChatGPT app with a voice
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
LibreChat - Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. More features in development
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
refact - WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding
ggml - Tensor library for machine learning
developer - the first library to let you embed a developer agent in your own app!
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM