Eugleo/climbmix-d26-10tpp-political0
text-generation model by Eugleo
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Model card & documentation
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Research artifact. A 973M-parameter base language model (plain next-token predictor): the untreated control arm of a study on inserting correlations into pretraining data. No data intervention was applied to this model. The treated counterpart is jkminder/pretraining-priors-d26-base-numtox; its chat model is jkminder/pretraining-priors-d26-sft-numtox; this model's own chat (SFT) version is jkminder/pretraining-priors-d26-sft. Both chat models have a further version trained with one epoch of reinforcement learning on GSM8K: jkminder/pretraining-priors-d26-rl and jkminder/pretraining-priors-d26-rl-numtox. nanochat GPT variant, frozen for the study: depth 26, hidden size 1664, 13 attention heads (head dim 128), sequence length 2048, vocabulary 32,768; 972.9M parameters, bfloat16 (the training compute precision). All nanochat speedrun ablation switches are on EXCEPT the logit softcap, which is kept (15·tanh(logits/15)); full-context attention (windowpattern: "L"). Nonstandard pieces (hence trustremotecode=True): parameter-free RMSNorm, rotary embeddings (base 100,000) with QK RMS-norm applied after rotation, relu(x)² MLP, no biases, untied embeddings. See the bundled modelingnanochatgpt.py. Tokenizer: nanochat BPE, 32,768 tokens (32,759 learned…
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Model overview
Eugleo/climbmix-d26-10tpp-political0 is a text-generation model repository published by Eugleo on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 972,947,456
- Architecture
- NanochatGPTForCausalLM
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-29T06:28:09.000Z
- Last modified
- 2026-09-29T06:28:38.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-29T06:38:10.429Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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