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AI Models 85003

• onnx-tiny-random-gpt2-without-merge↗

  fxmarty

• tiny-random-GemmaForCausalLM↗

  fxmarty

• Foundation-Sec-8B-Instruct-GGUF↗

  gabriellarson

• ivieai_star_v1.1b_merged↗

  GeorgeUwaifo

• giguan↗

  giguan

• llama2-0b-unit-test↗

  h2oai

  Small dummy LLama2-type Model useable for Unit/Integration tests. Suitable for CPU only machines, see H2O LLM Studio for an example integration test. Use the following configuration in H2O LLM Studio to run a complete experiment in **5 seconds** using the default dataset and default settings otherwise:

• rwkv-weights↗

  HaloWang

• granite-speech-4.1-2b-nar-gguf↗

  handy-computer

  GGUF conversions of ibm-granite/granite-speech-4.1-2b-nar for use with transcribe.cpp. Ported from upstream commit 99a4df9, pinned 2026-05-24. Validated against the Transformers reference at transcribe.cpp commit c53af2c on 2026-05-24. Offline multilingual speech-to-text in a single non-autoregressive editor pass. IBM Granite Speech 4.1-2b NAR shares the Conformer audio encoder with the AR Granite-Speech family but pairs it with a custom MLP-with- attention projector and the Granite-4.0-1b LLM used as a bidirectional editor (causal mask disabled). One forward pass produces logits over the full transcript; CTC decode yields the final text. No token-by-token loop. Takes a 16 kHz mono WAV and produces a transcript. English plus French, German, Spanish, and Portuguese; ASR only (no translation, no timestamps).

• Qwen3.5-4B-FP8↗

  Hob-forge

• changAI-nomic-embed-text-v1.5-finetuned↗

  hyrinmansoor

  This is a sentence-transformers model finetuned from hyrinmansoor/changAI-nomic-embed-text-v1.5-finetuned. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for retrieval.