rwkv.cpp VS inference

Compare rwkv.cpp vs inference and see what are their differences.

rwkv.cpp

INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model (by RWKV)
Deep Learning language-model llm Machine Learning quantization rwkv ggml
Source Code
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inference

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. (by xorbitsai)
ggml Pytorch chatglm chatglm2 Deployment flan-t5 llm wizardlm Artificial intelligence Machine Learning Distributed Computing Whisper
Source Code
inference.readthedocs.io
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rwkv.cpp inference
12 2
1,111 2,799
2.6% 21.8%
6.8 9.8
29 days ago about 10 hours ago
C++ Python
MIT License Apache License 2.0
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rwkv.cpp

Posts with mentions or reviews of rwkv.cpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-28.

inference

Posts with mentions or reviews of inference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.
  • GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
    4 projects | dev.to | 24 Jan 2024
    Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and WebUI. Furthermore, it integrates third-party developer tools like LangChain, LlamaIndex, and Dify, facilitating model integration and development.
  • 🤖 AI Podcast - Voice Conversations🎙 with Local LLMs on M2 Max
    1 project | /r/LocalLLaMA | 12 Jul 2023
    Code: https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast.py

What are some alternatives?

When comparing rwkv.cpp and inference you can also consider the following projects:

llama.cpp - LLM inference in C/C++

truss - The simplest way to serve AI/ML models in production

RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

agentchain - Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks

ChatRWKV - ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

mpt-30B-inference - Run inference on MPT-30B using CPU

h2o-wizardlm - Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning

verbaflow - Neural Language Model for Go

alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM

aihandler - A simple engine to help run diffusers and transformers models

rwkv.cpp vs llama.cpp inference vs truss rwkv.cpp vs RWKV-LM inference vs agentchain rwkv.cpp vs ChatRWKV inference vs ChatGLM2-6B rwkv.cpp vs mpt-30B-inference inference vs h2o-wizardlm rwkv.cpp vs verbaflow inference vs mpt-30B-inference rwkv.cpp vs alpaca.cpp inference vs aihandler