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qriton/hlm5-3b-base
hlm5-3b-base is a text generation model from qriton. Use it when you need the model to write or continue text. It is set up for pytorch. The card lists the license as other.
HLM5 3B Base is a decoder-only English base language model from Qriton, packaged for inference in sharded safetensors format.
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From the Hugging Face model README
HLM5 3B Base is a decoder-only English base language model from Qriton,
packaged for inference in sharded safetensors format.
This is a base model, not an instruction-tuned or chat model. It has not been aligned or safety-tuned for end-user assistant deployment.
Clone the repository, install requirements.txt, then run:
python generate.py "The history of computing began" --max-new-tokens 40
The included modeling_hlm5.py is a minimal inference-only implementation.
The full training and experimental stack is intentionally not part of this
model repository.
The default FP32 CPU loader needs approximately 20 GB of available system RAM. BF16 inference needs roughly 5.4 GB for weights alone; allow at least 8 GB of GPU memory for short prompts and more for longer sequences.
The reported perplexity is from the held-out project validation corpus. It should not be compared directly with results using a different tokenizer, corpus, context construction, or evaluation protocol. No standard downstream benchmark or instruction-following score is claimed by this release.
Research, evaluation, language-model analysis, and non-commercial prototyping. Human review is required for consequential applications.
Release-file digests are listed in SHA256SUMS. The public package contains
weights and inference assets only; it excludes optimizer state, runtime state,
cluster paths, training launchers, and internal experimental artifacts.
@misc{dima2026hlm5_3b,
title = {HLM5 3B Base},
author = {Dima, Marius and Qriton Technologies S.R.L.},
year = {2026},
url = {https://huggingface.co/qriton/hlm5-3b-base}
}
Business Source License 1.1 (BSL 1.1), © 2026 Qriton Technologies S.R.L.
Non-commercial research, education, personal use, and internal evaluation are
permitted. Commercial use requires a separate license. See LICENSE.