# Long Text Generation

Schreiber-mistral-nemo-12B is a large language model fine-tuned based on mistral-nemo-kartoffel-12B, focusing on providing more powerful and accurate language processing capabilities.

Qwen3 is the latest generation of the Qwen series large language model, offering a comprehensive set of dense and mixture-of-experts (MoE) models. Based on extensive training, Qwen3 achieves groundbreaking progress in reasoning, instruction following, agent capabilities, and multilingual support.

A dialogue model fine-tuned based on Gemma 27b, aiming to replicate the text quality of Claude 3, supporting ChatML format for conversational interactions.

Qwen2.5 is the latest series of the Qwen large language model, featuring a 1.5B parameter instruction-tuned model that supports multilingual and long text generation.

Badger Writer is a normalized Fourier task superposition model based on multiple Llama 3 8B models, specializing in text generation tasks, particularly excelling in creative writing and instruction following.

A creative writing enhancement model fine-tuned and optimized based on DeepSeek-R1-Distill-Qwen-14B, showing significant improvements in creative writing

The Gemma 3 4B IT model by Google supports multimodal input and long-context processing, suitable for text generation and image understanding tasks.

This model is a text generation model fine-tuned based on Qwen2.5-14B-Instruct and trained using the TRL library.

A 0.5B parameter instruction fine-tuned model designed for the Gensyn reinforcement learning group, supporting local fine-tuning training

The Trillion-7B Preview is a multilingual large language model supporting English, Korean, Japanese, and Chinese. It outperforms other 7B-scale models in computational efficiency and performance.

T3Q-qwen2.5-14b-v1.2-e2 is a post-trained version based on the Qwen/Qwen2.5-14B-Instruct-1M model, using LoRA-8-4-0.0001-cosine-32-16 configuration and trained on train_data_v1.2.

This is a quantized model based on Qwen2.5-14B-Instruct-1M, converted to GGUF format, suitable for the llama.cpp framework.

A large language model optimized based on Qwen's QwQ 32B architecture, focusing on efficient memory utilization, programming assistance, and complex problem-solving.

Hiber-Multi-10B-Instruct is an advanced multilingual large language model based on Transformer architecture, supporting multiple languages with 10 billion parameters, suitable for text generation tasks.

ALLaM is a large Arabic language model developed by the Saudi Data and Artificial Intelligence Authority (SDAIA), supporting both Arabic and English, trained from scratch with 7 billion parameters.

A pure RNN-based 7B parameter model trained via knowledge distillation, showcasing RWKV-7's efficient recurrent mechanism and attention-free architecture.

The RWKV-7 model adopts a flash linear attention architecture and supports multilingual text generation tasks.

This is the GPTQ 8-bit quantized version of the Llama-3.3-70B-Instruct model, fine-tuned and optimized for conversational reasoning tasks.

Bamba-9B is a decoder-only language model based on the Mamba-2 architecture, trained in two stages, excelling in a wide range of text generation tasks.

A 123B-parameter model fine-tuned based on Mistral-Large-Instruct, aiming to reproduce Claude 3's text generation quality

A Llama 3 8B model optimized for story creation and roleplay, supporting controlled narratives and interactive experiences

WizardLM-2-8x22B-GGUF is the GGUF quantized version of Microsoft's WizardLM-2-8x22B model, supporting multiple bit quantizations, suitable for text generation tasks.

A multilingual large model fine-tuned based on Mixtral-8x22B-v0.1, with a total of 141B parameters and 35B activated parameters

RWKV-5 Eagle 7B is a 7B-parameter large language model based on the RWKV architecture, supporting Chinese text generation tasks

A 2.8 billion parameter language model based on the Mamba architecture, compatible with HuggingFace Transformers library

LongAlpaca-13B-GGUF is the GGUF quantized version of the Yukang/LongAlpaca-13B model, supporting 2-8 bit quantization options, suitable for local text generation tasks.

A 7B-parameter large language model series specifically designed for controlled story creation and role-playing

RWKV-5 Eagle 7B is a large language model with 7B parameters based on the RWKV architecture, supporting Chinese text generation tasks

Estopia is a model focused on enhancing the quality of dialogue and prose generation under instruction formats, excelling in character cards, detail retention, and guided narratives.

MythoMist 7B is a highly experimental merged model based on Mistral, utilizing innovative algorithms for active benchmarking to achieve user objectives, specifically targeting the reduction of certain negatively associated vocabulary frequencies.

Nethena-20B is a 20B-parameter large language model developed by NeverSleep, suitable for role-playing, emotional interaction, and general purposes.

The AWQ quantized version of MythoMax L2 13B, which can effectively improve inference efficiency.

Pygmalion 2 13B is a large language model developed by PygmalionAI, based on the LLaMA architecture, specializing in text generation and role-playing dialogue tasks.

Ziya Writing Large Model V1 is a 13-billion-parameter instruction fine-tuned model based on LLaMa, specializing in writing tasks such as official documents, speeches, letters, and creative copywriting.

The 30B-Lazarus Model is an experimental language model that applies LoRA and model fusion, aiming to enhance model characteristics through superposition while avoiding feature dilution effects.

An instruction generation model fine-tuned on the deduplicated version of Pythia-2.8B, optimized for synthetic instruction datasets

GLM-2B is a general-purpose language model pre-trained with autoregressive blank filling objectives, supporting various natural language understanding and generation tasks.

GerPT2 is a large German language model based on the GPT2 architecture, trained on the CC-100 and German Wikipedia datasets, outperforming similar German GPT2 models.