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AI モデル 84760
- pythia-160m-GGUF↗
mradermacher
- Qwen1.5-14B-GGUF↗
mradermacher
- Revisual-R1-Coldstart-i1-GGUF↗
mradermacher
- tvall43-Qwen3.5-0.8B-heretic-v3-GGUF↗
mradermacher
- WhiteRabbitNeo-13B-i1-GGUF↗
mradermacher
- llama-nemotron-embed-1b-v2-GGUF↗
mykor
- Qwen3.6-27B-NInfer↗
neroued
The repository contains Qwen3.6-27B converted to the native NInfer `.ninfer` artifact format. The artifact is intended only for NInfer; it is not a Transformers checkpoint, Safetensors distribution, or GGUF file. The file contains Text, Vision, MTP, the optimized proposal head, and frontend resources. Text projections use Q4/Q5, vocabulary weights use Q6, and MTP projections use Q8. Vision and speculative weights are loaded only when selected at startup. NInfer does not provide an install target or packaged binary. See the repository README for source-build dependencies.
- Llama-2-13b-hf↗
NousResearch
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 13B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom. Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM. **Variations** Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations.
- stanford-deidentifier-base-ONNX↗
onnx-community
- roberta-base-openai-detector↗
openai-community
- Model Details - Uses - Risks, Limitations and Biases - Training - Evaluation - Environmental Impact - Technical Specifications - Citation Information - Model Card Authors - How To Get Started With the Model **Model Description:** RoBERTa base OpenAI Detector is the GPT-2 output detector model, obtained by fine-tuning a RoBERTa base model with the outputs of the 1.5B-parameter GPT-2 model. The model can be used to predict if text was generated by a GPT-2 model. This model was released by OpenAI at the same time as OpenAI released the weights of the largest GPT-2 model, the 1.5B parameter version. - **Developed by:** OpenAI, see GitHub Repo and associated paper for full author list - **Model Type:** Fine-tuned transformer-based language model - **Language(s):** English - **License:** MIT - **Related Models:** RoBERTa base, GPT-XL (1.5B parameter version), GPT-Large (the 774M parameter version), GPT-Medium (the 355M parameter version) and GPT-2 (the 124M parameter version) - **Resources for more information:** - Research Paper (see, in particular, the section beginning on page 12 about Automated ML-based detection). - GitHub Repo - OpenAI Blog Post - Explore the detector model here