torch-grammar
llama.cpp
| torch-grammar | llama.cpp | |
|---|---|---|
| 3 | 788 | |
| 63 | 58,856 | |
| - | - | |
| 5.2 | 10.0 | |
| 10 days ago | 6 days ago | |
| Python | C++ | |
| - | MIT License |
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torch-grammar
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Show HN: LLMs can generate valid JSON 100% of the time
Yes! This is closer to the approach I took in my port of llama.cpp's grammar support to PyTorch: https://github.com/Shopify/torch-grammar/blob/main/torch_gra... ... it generates an tensor mapping each PDA stack to a map of which tokens are acceptable from that state. It seems like a much better way to do it.
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Llama: Add Grammar-Based Sampling
I implemented this for PyTorch too at https://github.com/Shopify/torch-grammar
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?
outlines - Structured Text Generation
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
guidance - A guidance language for controlling large language models.
gpt4all - gpt4all: run open-source LLMs anywhere
lmql - A language for constraint-guided and efficient LLM programming.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Constrained-Text-Generation-Studio - Code repo for "Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio" at the (CAI2) workshop, jointly held at (COLING 2022)
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
Constrained-Text-Genera
ggml - Tensor library for machine learning
json-schema-spec - The JSON Schema specification
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM