# Text generation

This is a transformers model published on the Hugging Face Hub. Specific information is to be supplemented.

A quantized version of Kimi-Dev-72B, using advanced nonlinear optimal quantization and multi-head latent attention mechanism to reduce storage and computing requirements.

This is a 4-bit quantized version converted from the Qwen3-235B-A22B-8bit model, optimized for the MLX framework and suitable for text generation tasks.

This is an 8-bit quantized version in MLX format converted from the DeepSeek-R1-0528-Qwen3-8B model, suitable for text generation tasks.

An 8-bit quantized version based on the DeepSeek-R1-0528-Qwen3-8B model, optimized for Apple Silicon chips and suitable for text generation tasks.

A quantized version based on TheDrummer/Snowpiercer-15B-v1 model, using llama.cpp for quantization, suitable for text generation tasks.

This model is a text generation model fine-tuned based on Qwen/Qwen2.5-1.5B-Instruct. It is trained using TRL and provides strong support for text generation tasks.

An MNN model exported from Qwen3-30B-A3B, featuring 4-bit quantization for efficient inference.

N1 is a small experimental Chain-of-Thought (COT) model developed by GoofyLM, built on the LLaMA architecture and focused on step-by-step reasoning problems.

This is a transformers model hosted on Hugging Face Hub, with its specific functions and purposes not clearly stated.

The GGUF quantized version of Qwen3-30B-A3B, supporting multi-bit quantization, suitable for text generation tasks.

The 4-bit quantized version of the MNN model for Qwen3-4B, used for efficient text generation tasks

A 4-bit quantized version based on InternVL2_5-1B, suitable for text generation and chat scenarios.

A quantized version based on inclusionAI/Ling-lite, using llama.cpp for imatrix quantization, supporting multiple quantization types to accommodate different hardware requirements.

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses need to be supplemented.

The first open-source, native 1-bit large language model developed by Microsoft Research, with a parameter scale of 2 billion, trained on a corpus of 4 trillion tokens.

This is a 9B-parameter language model based on the Gemma-2-9B series, fused using the DARE TIES method, combining multiple optimized versions of the Gemma model.

This is an 8-bit quantized version of the Orpheus-3B pre-trained language model based on the MLX framework, originally developed by CanopyLabs.

This is a transformers model hosted on the Hugging Face Hub, with specific functions and uses to be supplemented.

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses require further information.

This is the 4-bit quantized version of the Qwen/QwQ-32B model, optimized using the BitsAndBytes library, suitable for text generation tasks in resource-constrained environments.

Pre-trained model based on the Transformers library, suitable for natural language processing tasks

GGUF format quantized version of QwQ-32B, suitable for local text generation tasks.

Aura-4B is a quantized version based on AuraIndustries/Aura-4B, using llama.cpp for imatrix quantization, supporting multiple quantization types, suitable for text generation tasks.

Quantized version based on SicariusSicariiStuff/Impish_Mind_8B model, processed with llama.cpp tools for various quantization methods, suitable for text generation tasks.

The AWQ 4-bit quantization version of Llama-3.3-70B-Instruct, developed by Meta AI, supports multiple languages and is suitable for text generation tasks.

This is a transformers model hosted on Hugging Face Hub, with specific functionalities and uses to be supplemented.

This is a transformers model hosted on Hugging Face Hub, with no specific functionality or purpose clearly stated.

A configurable secure dialogue model fine-tuned based on Yi-1.5-9B, supporting switching between different behavior modes through system prompts

A pre-trained language model merged using the mergekit tool, combining features from multiple Llama-3 variant models

The Llamacpp imatrix quantization version of bagel-8b-v1.0, providing multiple quantization files to meet different hardware and performance requirements.

LingLong is a lightweight Chinese pre-trained language model based on the GPT-3 architecture, with a parameter scale of 317 million, suitable for researchers with limited computational resources.

Fietje 2 is a Dutch-optimized version based on microsoft/phi-2, trained on 28 billion Dutch tokens to specifically enhance Dutch text generation capabilities

A Ge'ez (Ethiopian) text processing model based on the T5 architecture, supporting text generation and transformation tasks

Grok-1 is a large-scale language model developed by xAI, with 314 billion parameters, suitable for text generation tasks.

Mistral 7B Instruct v0.2 is an instruction fine-tuned version based on the Mistral 7B model, suitable for text generation tasks.

This model is a fine-tuned version of GroNLP/gpt2-small-italian, suitable for Italian text generation tasks.

Mini_synatra_7b_02 is a large language model fine-tuned by Minirecord based on the maywell/Synatra-7B-v0.3-dpo model, specializing in text generation tasks.

Nanbeige 16B Base 32K is a large language model developed by Nanbeige LLM Lab, supporting both Chinese and English with a 32K context length, suitable for various text generation tasks.

Yi 6B is a large language model developed by 01-ai, with 6 billion parameters, suitable for various text generation tasks.