library_name, pipeline_tag, language, base_model, datasets, tags, license

library_name	pipeline_tag	language	base_model	datasets	tags	license
transformers	text-generation	en	HuggingFaceTB/SmolLM2-135M	atenareply/noval-corp-training-corpus	smollm2 continued-pretraining domain-adaptation	apache-2.0

SmolLM2-135M Noval — Domain CPT

HuggingFaceTB/SmolLM2-135M after Continued Pre-Training on the fictional OMC + Mars Express domain corpus. First-round (135M) proof of the pipeline.

Overview

• Stage: Continued Pre-Training (full fine-tune, CLM)
• Lineage: SmolLM2-135M → CPT (this model)
• Method: Continued Pre-Training (next-token, full fine-tune) on a 30/70 mars/orbital interleaved corpus (tokenized + packed).
• Domain: fictional — Orbital Mining Corporation (OMC) technical docs + Mars Express telemetry.

Training

Corpus	noval-corp-training-corpus (30% Mars / 70% OMC, packed input_ids)
LR / schedule	5e-4 cosine, warmup 200 steps
Duration / seq	max_steps 5000, seq 1024, eff_batch 32, T4 fp16

Evaluation

No task metrics for this checkpoint (intermediate / no-training stage).

Intended use & limitations

Domain backbone for the 135M line (knows the domain; not instruction-tuned).

Limitations:

• 135M is intrinsically limited — expectations should be modest.
• Fictional domain; no chat template / instruction following.

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Card generated by noval-corp/scripts/gen_model_cards.py (standardized across the noval-corp model family).