llama.cpp
| KoboldAI | llama.cpp | |
|---|---|---|
| 58 | 780 | |
| 150 | 57,984 | |
| - | - | |
| 8.6 | 10.0 | |
| 7 months ago | 5 days ago | |
| Python | C++ | |
| GNU Affero General Public License v3.0 | MIT License |
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KoboldAI
- Any good models with 6gb vram?
- for some reasons, i can't download AI models from Kobold, how can i download them individually?
-
ChatGPT users drop for the first time as people turn to uncensored chatbots
Pygmalion for chatting, Erebus for story writing, Wizard Vicuna Uncensored for general use including chatting, story writing or instructing, to name a few. There's lots more, but most are just the raw models that users are expected to load themselves so there isn't anything quite like ChatGPT where you just load up a single website and have all of them there. You'll either have to set up a local install using KoboldAI for running only on GPU, KoboldCPP for running only on CPU with optional splitting between CPU and GPU, or Oobabooga for CPU, GPU and splitting between CPU and GPU, if you have a powerful enough PC to run these models yourself (a PC with a 3090 can load up to a 30B model entirely in GPU, or a 65B model if you have 64GBs of RAM and a decently powerful CPU). If you don't have a powerful enough PC then you'll have to use something like KoboldAI Lite (website version) or SillyTavern to use the horde, a crowdsourced AI chatbot/LLM runner that lets people provide their hardware for others to use.
- Alr boys, how do I sign into Kobold?
- Poe down so here a meme
- GPU running out of memory despite meeting requirements?
- Any way to get a 13b model running on a 4070?
-
Remote play .bat doesn't work for me how do i fix it?
INFO | __main__:general_startup:1312 - Running on Repo: https://github.com/0cc4m/koboldai Branch: latestgptq
- Help with KoboldAI API not generating responses
-
Anyone tried this promising sounding release? WizardLM-33B-V1.0-Uncensored-SUPERHOT-8K
Occam seems to be trying or adding that into Kobold (https://github.com/0cc4m/KoboldAI/tree/4bit-plugin)
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?
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
gpt4all - gpt4all: run open-source LLMs anywhere
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
SillyTavern - LLM Frontend for Power Users.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
GPTQ-for-LLaMa - 4 bits quantization of LLMs using GPTQ
ggml - Tensor library for machine learning
llama-cpp-python - Python bindings for llama.cpp
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM