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clm-400m
AICrossSim/clm-400m
clm-400m is a text generation model from AICrossSim. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as odc-by.
A 60M parameter language model trained on 22 400M tokens from FineWeb-Edu dataset.
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456M
1.8 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- odc-by
- Model type
- llama
- Access
- Public
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025
- SHA
- 10113eb1
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Datasets
Model card
From the Hugging Face model README
Model Card for AICrossSim/clm-400m
A 60M parameter language model trained on 22 * 400M tokens from FineWeb-Edu dataset.
Model Details
aixsim-400M is a transformer-based language model with approximately 400 million parameters (embedding layer params excluded). It uses RMSNorm for normalization and is trained on the FineWeb-Edu dataset.
- Developed by: AICrossSim
- Funded by: ARIA
- Model type: Transformer Language Model
- Language(s) (NLP): English
- Tokenizer: HuggingFaceTB/cosmo2-tokenizer
- Repository: AICrossSim/NewComputeBench
Training Details
Experiment setup and training logs can be found at wandb run.
Usage
import transformers
model_name="AICrossSim/clm-400m"
model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
lm-evaluation-harness
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| wikitext | 2 | none | 0 | bits_per_byte | ↓ | 0.9886 | ± | N/A |
| none | 0 | byte_perplexity | ↓ | 1.9843 | ± | N/A | ||
| none | 0 | word_perplexity | ↓ | 39.0317 | ± | N/A |
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- odc-by
- Languages
- en
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025