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AI 模型 84759

• Selene-3B-Instruct-GGUF↗

  mradermacher

• Spark-X2.6-4B-uncensored-GGUF↗

  mradermacher

• TEMPURA-Qwen2.5-VL-3B-s2-GGUF↗

  mradermacher

• Viper-Coder-Hybrid-v1.2-GGUF↗

  mradermacher

• Wicked-Stuff-26B-A4B-v3.0-Final-i1-GGUF↗

  mradermacher

  static quants are available at https://huggingface.co/mradermacher/Wicked-Stuff-26B-A4B-v3.0-Final-GGUF If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files. (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

• WikiQwen-35B-A3B-GGUF↗

  mradermacher

• utrlm-te_el↗

  multimolecule

• xLAM-2-3b-fc-r-GGUF↗

  Mungert

• nasa-smd-ibm-st-v2↗

  nasa-impact

  Indus-Retriever (`nasa-smd-ibm-st-v2`) is a Bi-encoder sentence transformer model, that is fine-tuned from nasa-smd-ibm-v0.1 encoder model. it is an updated version of `nasa-smd-ibm-st` with better performance (shown below). It's trained with 271 million examples along with a domain-specific dataset of 2.6 million examples from documents curated by NASA Science Mission Directorate (SMD). With this model, we aim to enhance natural language technologies like information retrieval and intelligent search as it applies to SMD NLP applications. you can also use distilled version of the model here: https://huggingface.co/nasa-impact/nasa-ibm-st.38m 1. All-MiniLM-l6-v2 [sentence-transformers/all-MiniLM-L6-v2] 2. BGE-base [BAAI/bge-base-en-v1.5] 3. RoBERTa-base [roberta-base] 4. nasa-smd-ibm-rtvr_v0.1 [nasa-impact/nasa-smd-ibm-st]

• OLMo-2-1124-7B-Instruct_SafeGrad_mathv00.04↗

  Neelectric