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AI モデル 85003

• jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf↗

  RichardErkhov

• jondurbin_-_airoboros-l2-13b-3.0-gguf↗

  RichardErkhov

• Spooke_-_distilgpt2-finetuned-python_code_instructions_18k_alpaca-gguf↗

  RichardErkhov

• rtila-assistant-lite-1.5↗

  rtila-corporation

• Qwen3-GGUF↗

  SandLogicTechnologies

• ReflectionCoder-CL-34B↗

  SenseLLM

  ReflectionCoder is a novel approach that effectively leverages reflection sequences constructed by integrating compiler feedback to improve one-off code generation performance. Please refer to our paper and repo for more details! Following chat templates of most models, we use two special tokens to wrap the message of user and assistant, *i.e.*, `` ``, `` ``, and `` ``. Furthermore, we use two special tokens to wrap the content of different blocks, *i.e.*, `` `` and `` ``. You can use the following template to prompt our ReflectionCoder.

• distilbert-base-nli-mean-tokens↗

  sentence-transformers

  **⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: SBERT.net - Pretrained Models** This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Using this model becomes easy when you have sentence-transformers installed:

• ar-stablelm-2-chat↗

  Stability AI

• Tracer-Low-1.7B↗

  tau-emotion-bench

• ConTeXT-Skill-Extraction-base↗

  TechWolf

  This is a sentence-transformers model trained. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.