llamacpp-for-kobold
Port of Facebook's LLaMA model in C/C++ [Moved to: https://github.com/LostRuins/koboldcpp] (by LostRuins)
llama.cpp
LLM inference in C/C++ (by ggerganov)
| llamacpp-for-kobold | llama.cpp | |
|---|---|---|
| 8 | 773 | |
| 96 | 56,891 | |
| - | - | |
| 10.0 | 10.0 | |
| about 1 year ago | 5 days ago | |
| C | C++ | |
| GNU Affero General Public License v3.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
llamacpp-for-kobold
Posts with mentions or reviews of llamacpp-for-kobold.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-24.
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[Kobold Ai] Einführung von llamacpp-for-kobold, führen Sie llama.cpp lokal mit einer schicken Web-Benutzeroberfläche, dauerhaften Geschichten, Bearbeitungswerkzeugen, Speicherformaten, Speicher, Weltinformationen, Anmerkung des Autors, Charakteren, Szenarien und mehr mit minimalem Setup aus.
Geben Sie llamacpp-for-kobold ein
- Künstliche Intelligenz: Italien sperrt ChatGPT
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LLAMA Experience so far
30b (alpacacpp and Kobold-TavernAI on windows, this one)
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Using llama.cpp, how to access API?
I am the creator of https://github.com/LostRuins/llamacpp-for-kobold . It runs a local http server serving a koboldai compatible api with a built in webui. Compatible with all llama.cpp and alpaca.cpp models.
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My experience with Alpaca.cpp
I don't know if anything like that exists. There is this project that I played around with at one point if that helps at all.
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Alpaca.cpp is extremely simple to get working.
Try this https://github.com/LostRuins/llamacpp-for-kobold
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Introducing llamacpp-for-kobold, run llama.cpp locally with a fancy web UI, persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and more with minimal setup
What does it mean? You get an embedded llama.cpp with a fancy writing UI, persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and everything Kobold and Kobold Lite have to offer. In a tiny package (under 1 MB compressed with no dependencies except python), excluding model weights. Simply download, extract, and run the llama-for-kobold.py file with the 4bit quantized llama model.bin as the second parameter.
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Introducing llamacpp-for-kobold, run llama.cpp locally with a fancy web UI, persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and more with minimal setup.
Enter llamacpp-for-kobold
llama.cpp
Posts with mentions or reviews of llama.cpp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-21.
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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
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Embeddings are a good starting point for the AI curious app developer
Have just done this recently for local chat with pdf feature in https://recurse.chat. (It's a macOS app that has built-in llama.cpp server and local vector database)
Running an embedding server locally is pretty straightforward:
- Get llama.cpp release binary: https://github.com/ggerganov/llama.cpp/releases
- Mixtral 8x22B
- Llama.cpp: Improve CPU prompt eval speed
What are some alternatives?
When comparing llamacpp-for-kobold and llama.cpp you can also consider the following projects:
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
gpt4all - gpt4all: run open-source LLMs anywhere
koboldcpp - Port of Facebook's LLaMA model in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
TavernAI - TavernAI for nerds [Moved to: https://github.com/Cohee1207/SillyTavern]
ggml - Tensor library for machine learning
alpaca_lora_4bit
llamacpp-for-kobold vs TavernAI
llama.cpp vs ollama
llamacpp-for-kobold vs alpaca.cpp
llama.cpp vs gpt4all
llamacpp-for-kobold vs koboldcpp
llama.cpp vs text-generation-webui
llamacpp-for-kobold vs gpt4all
llama.cpp vs GPTQ-for-LLaMa
llamacpp-for-kobold vs TavernAI
llama.cpp vs ggml
llamacpp-for-kobold vs alpaca_lora_4bit
llama.cpp vs alpaca.cpp