learn-langchain
gptq_for_langchain
| learn-langchain | gptq_for_langchain | |
|---|---|---|
| 8 | 2 | |
| 274 | 40 | |
| - | - | |
| 6.7 | 4.0 | |
| 12 months ago | 9 months ago | |
| Python | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 only |
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learn-langchain
- Alternative to LangChain for open LLMs?
- Can someone explain why there isn't a good interface for the oobabooga api in langchain?
- Vicuna/LLaMMA Models and Langchain Tools
- Ho to run .safetensors models with langchain/huggingface pipelines?
- Local Vicuna: Building a Q/A bot over a text file with langchain, Vicuna and Sentence Transformers
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Embeddings?
Source code: https://github.com/paolorechia/learn-langchain/tree/main/langchain_app/document
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Is it possible to run GPTQ quantized 4bit 13B Vicuna locally on a GPU with langchain?
If not and you need to stream and cut off the text more manually, you may want to take a look at this implementation of Vicuna under LangChain: https://github.com/paolorechia/learn-langchain/
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Creating an AI Agent with Vicuna 7B and Langchain: fetching a random Chuck Norris joke
You can find my code here: https://github.com/paolorechia/learn-langchain
gptq_for_langchain
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Example Code needed
You don't say whether you are running Windows or Linux or whether you need Python code or node. This looks like a useful resource for Linux - https://github.com/abhinand5/gptq_for_langchain/tree/main
- Alternative to LangChain for open LLMs?
What are some alternatives?
AgentOoba - An autonomous AI agent extension for Oobabooga's web ui
Roy - Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
andromeda-chain - Serving hugging face guidance behind a server
vicuna-react-lora - An experiment of finetuning Vicuna with ReAct instructions
visio-gptq
GPTQ-for-LLaMa-API - Provide a way to use the GPT-QLLama model as an API
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
BrainChulo - Harnessing the Memory Power of the Camelids
langchain-tutorials - Overview and tutorial of the LangChain Library
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]