JaydenTeoh/hard-mtp-167m-model
text-generation model by JaydenTeoh
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Model card & documentation
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Standard multi-token prediction. One of twelve checkpoints released with Multi-Token Prediction Done Right (arXiv:2610.38331): three objectives x four sizes, trained under an identical recipe so they are directly comparable. Code: JaydenTeoh/Soft-MTP — configs/167mfineweb.yaml. Each MTP head is trained with cross-entropy against the realized token k ahead. This is the usual MTP objective, as in DeepSeek-V3. trustremotecode=True is required: the architecture (modeltype: hfmtp) is defined by the modelling files in this repo, not by transformers. The tokenizer is stock GPT-2 — this repo ships no tokenizer files. vocabsize is padded from 50257…
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Model overview
JaydenTeoh/hard-mtp-167m-model is a text-generation model repository published by JaydenTeoh on Hugging Face. The source reports the transformers library.
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Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 178,368,512
- Architecture
- HFMTPForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-30T06:46:43.000Z
- Last modified
- 2026-10-30T06:47:11.000Z
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 2026-10-30T06:49:24.903Z. Daily imports are snapshots, not real-time monitoring.
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