Nomic Ai Ggml Replit Code V1 3b Hugging Face

Nomic Ai Ggml Replit Code V1 3b Hugging Face Ggml (16bit float) version of replit v1 3b code model. original model: huggingface.co replit replit code v1 3b important: this model binary was created with the original replit model code before it was refactored to use mpt configurations. Ggml replit code v1 3b is an open source model from github that offers a free installation service, and any user can find ggml replit code v1 3b on github to install.

Abetlen Replit Code V1 3b Ggml Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science. Ggml replit code v1 3b like 7 follow nomic ai 1k license:cc by sa 4.0 model card filesfiles and versions xet community main ggml replit code v1 3b file size: 386 bytes. Ggml (16bit float) version of replit v1 3b code model. original model: huggingface.co replit replit code v1 3b important: this model binary was created with the original replit model code before it was refactored to use mpt configurations. Replit code v1 3b is a 2.7b causal language model focused on code completion. the model has been trained on a subset of the stack dedup v1.2 dataset. in total, the training dataset contains 175b tokens, which were repeated over 3 epochs in total, replit code v1 3b has been trained on 525b tokens (~195 tokens per parameter).

Models Hugging Face Ggml (16bit float) version of replit v1 3b code model. original model: huggingface.co replit replit code v1 3b important: this model binary was created with the original replit model code before it was refactored to use mpt configurations. Replit code v1 3b is a 2.7b causal language model focused on code completion. the model has been trained on a subset of the stack dedup v1.2 dataset. in total, the training dataset contains 175b tokens, which were repeated over 3 epochs in total, replit code v1 3b has been trained on 525b tokens (~195 tokens per parameter). License: model card filesfiles and versions community use with library main ggml replit code v1 3b readme.md rguo123 update readme.md 29b3325 1 day ago preview code | raw history blame contribute delete 386 bytes. You can use the replit models with hugging face transformers library. the readme for each released model has instructions on how to use the model with hugging face transformers. Replit code v1 3b is a state of the art 2.7 billion parameter causal language model developed specifically for code completion tasks. this model is hosted in the hugging face model hub and was trained on a wide variety of 20 programming languages. Replit code v1 3b takes text input and generates text output, with a focus on producing code snippets. the model utilizes advanced techniques like flash attention and alibi positional embeddings to enable efficient training and inference on long input sequences.