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AI Models 85003

• Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking↗

  DavidAU

• deepseek-coder-7b-instruct-v1.5↗

  DeepSeek

  Deepseek-Coder-7B-Instruct-v1.5 is continue pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective, and then fine-tuned on 2B tokens of instruction data. - **Home Page:** DeepSeek - **Repository:** deepseek-ai/deepseek-coder - **Chat With DeepSeek Coder:** DeepSeek-Coder This code repository is licensed under the MIT License. The use of DeepSeek Coder models is subject to the Model License. DeepSeek Coder supports commercial use.

• LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v2-GGUF↗

  DuoNeural

• Qwen3-14B-Abliterated↗

  DuoNeural

• mms-tts-slu↗

  facebook

• OTel-LLM-27B-IT↗

  farbodtavakkoli

• OTel-LLM-8.3B-IT↗

  farbodtavakkoli

• doctr-dummy-torch-resnet50↗

  Felix92

• anything-xl↗

  genai-archive

• bge-small-en-v1.5-Q8_0-GGUF↗

  ggml-org

  This model was converted to GGUF format from `BAAI/bge-small-en-v1.5` using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).