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Independent publisher

Guanchu

guan-wang

Models in Library3
Datasets in Library0
Models on Hugging Face2
Followers4

Compare the published evidence

This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

ESM-ClimbMix-160M

Guanchu

OpenESM d12 model trained on ClimbMix. This repository contains the pretraining checkpoint without optimizer state conversion. - model.ckpt: Lightning checkpoint. - modelingesm.py: standalone model and checkpoint loader. - tokenizer/tokenizer.pkl: serialized ESM tokenizer. - tokenizer/tokenbytes.pt: token byte table for BPB evaluation. The 160M label describes the model parameter count. Training token counts are intentionally omitted from the repository name and file names. The code and checkpoint format are maintained in the

Open weights pytorch

Model · Text generation

ESM-ClimbMix-1B

Guanchu

OpenESM d26 model trained on ClimbMix. This repository contains the pretraining checkpoint without optimizer state conversion. - model.ckpt: Lightning checkpoint. - modelingesm.py: standalone model and checkpoint loader. - tokenizer/tokenizer.pkl: serialized ESM tokenizer. - tokenizer/tokenbytes.pt: token byte table for BPB evaluation. The 1B label describes the model parameter count. Training token counts are intentionally omitted from the repository name and file names. The code and checkpoint format are maintained in the

Open weights pytorch

Model · Text generation

ESM-ClimbMix-520M

Guanchu

OpenESM d20 model trained on ClimbMix. This repository contains the pretraining checkpoint without optimizer state conversion. - model.ckpt: Lightning checkpoint. - modelingesm.py: standalone model and checkpoint loader. - tokenizer/tokenizer.pkl: serialized ESM tokenizer. - tokenizer/tokenbytes.pt: token byte table for BPB evaluation. The 520M label describes the model parameter count. Training token counts are intentionally omitted from the repository name and file names. The code and checkpoint format are maintained in the

Open weights pytorch