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AI 模型 85003

• rhysjones_-_gpt2-124M-edu-fineweb-10B-gguf↗

  RichardErkhov

• saboof_-_codegemma-2b-merged-docstring-gguf↗

  RichardErkhov

• We-Want-GPU_-_SOLAR-10.7B-orca-alpaca-gpt4-lora-653-gguf↗

  RichardErkhov

• HRM-Text-1B↗

  sapientinc

  A 1 B-parameter language model checkpoint built on the **Hierarchical Reasoning Model (HRM)** architecture, trained by Sapient Intelligence from scratch on structured public datasets. HRM is a dual-timescale recurrent architecture: two Transformer modules (H = high-level / slow, L = low-level / fast) iterate over the same input embeddings for `H_cycles × (L_cycles + 1)` steps, with additive state injection (`z_L + z_H`). This gives effectively unbounded compute depth at bounded parameter count. This is a **pre-alignment** model checkpoint, not a chat or instruction-following assistant. It is pre-trained on a PrefixLM objective with condition prefix tokens and has **not** been multi-turn dialogue tuned, long-context adapted, instruction-tuned, RLHF-trained, or otherwise aligned for assistant-style use. If you want to use HRM-Text like a chat model, you would need to perform further alignment, such as SFT and/or RL, on task-specific data. This checkpoint is meant to serve as a starting point, not a finished assistant.

• bert-base-wikipedia-sections-mean-tokens↗

  sentence-transformers

• Huihui-Qwen3.6-27B-abliterated-AWQ-MTP↗

  shawnw3i

  This is an uncensored version of Qwen/Qwen3.6-27B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

• vectorizer.raspberry↗

  sinequa

• T-lite-it-1.0↗

  t-tech

• zx9↗

  tao1000

• Qwen3.8-Flash-Next-MLX-8bit-MTP↗

  TensorFold