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AI 모델 84759
- 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.
- granite-8b-code-base-4k-GGUF↗
ibm-granite
- K2-Horizon-7B-FP8↗
IFM
- Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF↗
Jackrong
🔥 **Update (April 5):** I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process. > ❤️ Special thanks to the **Unsloth** open-source library and @KyleHessling1 for their support. 👉 **GitHub Repository: Jackrong-llm-finetuning-guide** Visit the repo to dive into the codebase and reproduce the results locally or on Colab.
- supergemma4-26b-uncensored-mlx-4bit-v2↗
Jiunsong
Do not pass `--chat-template /path/to/chat_template.jinja` as a literal path string on launch paths that expect the template body. That can corrupt responses.
