On Aug 25, Qwen app and PC launched Alibaba Cloud Token Plan integration. Users bind an API Key in Work Assistant, then complex tasks like controlling computer/browser and delivering Office docs via skills can use Token Plan quota; tokens are deducted from their Alibaba Cloud Bailian account.....
CodeBuddy and WorkBuddy have extended the free access period for the Hy3 large language model to August 31, 2026, due to high user demand. Hy3 supports text-only tasks with no multimodal capabilities. If users attempt image or video generation via these products, the system will automatically switch to appropriate multimodal models and deduct credits as normal.....
GitHub has transitioned its AI coding tool Copilot from a low-cost unlimited monthly subscription to a usage-based billing model, charging through 'GitHub AI Points' based on model and token consumption. The new plans include $10/month Pro with 1500 points, $39/month Pro+ with 7000 points, and $100/month Copilot Max with 20000 points, with core code generation billed per point.....
The Dedu team uses the AI tool Claude Code to drive transformation in data warehouse development, significantly improving the efficiency of repetitive work. However, there are pain points in practical application: the 'AI memory' is insufficient, and long conversations are prone to forgetting the context, such as the units of important fields, affecting the accuracy of development.
sudeshmu
A 360-million-parameter language model based on the LLaMA architecture and using MoR (Mixture of Recursions) technology, fine-tuned on the FineWeb-Edu deduplicated dataset, achieving efficient text generation capabilities through a dynamic routing mechanism and recursive KV cache.
beetlware
A large Arabic logical reasoning model fine-tuned based on Qwen3-14B, optimized for Arabic logic and deductive reasoning while retaining general conversational capabilities.
Salesforce
E1-Math-1.5B is a language model fine-tuned based on DeepSeek-R1-Distilled-Qwen-1.5B, supporting elastic reasoning and the GRPO method, suitable for budget-constrained deduction scenarios.
prithivMLmods
Nu2-Lupi-Qwen-14B is a mathematical reasoning optimized model based on the Qwen 2.5 14B architecture, excelling in complex problem-solving and logical deduction.
OpenPipe
A model trained through reinforcement fine-tuning based on Qwen 2.5 32B Instruct, specifically designed to solve challenging deductive reasoning problems in the Temporal Clue dataset.
vngrs-ai
Kumru-2B is a lightweight, open-source large language model developed from scratch by VNGRS specifically for Turkish. This model was pre-trained on 300 billion tokens from a 500GB cleaned and deduplicated Turkish corpus. It is equipped with a modern tokenizer optimized for Turkish, supports code, math, and chat templates, and has a default native context length of 8192 tokens.
ArliAI
Llama-3.1-8B-ArliAI-RPMax-v1.1 is a variant model based on Meta-Llama-3.1-8B, focusing on creative writing and role-playing tasks. This model is trained on a carefully curated diverse dataset, emphasizing deduplication and creativity. It can adapt to various roles and scenarios and has a highly non-repetitive characteristic.
teddylee777
A Korean language model continuously pre-trained on the Llama-3-8B framework, trained with over 60GB of deduplicated text data
beomi
A Korean language model based on continued pre-training of Llama-3-8B, trained on 60GB+ deduplicated publicly available text, supporting Korean and English.
A Korean language model continuously pre-trained based on Llama-3-8B, using over 60GB of deduplicated publicly available text for training, supporting Korean and English text generation.
dell-research-harvard
This is a LinkTransformer model based on the Sentence Transformers framework, specifically designed for record linkage (entity matching) tasks, supporting operations such as clustering, deduplication, and linking.
PygmalionAI
An instruction fine-tuned model developed based on the deduplicated version of Pythia 1.4B, specializing in novel creation and dialogue generation
openaccess-ai-collective
Manticore 13B Chat is a chat conversation model optimized based on the Manticore model. It is trained using a deduplicated subset of the Pygmalion dataset and uses a pure chat-style prompt format, supporting role-playing and various dialogue tasks.
lambdalabs
An instruction generation model fine-tuned on the deduplicated version of Pythia-2.8B, optimized for synthetic instruction datasets
EleutherAI
Pythia-12B-deduped is a large language model with 12B parameters developed by EleutherAI, designed specifically for interpretability research and trained on the deduplicated Pile dataset.
Pythia-1B Deduplicated is a language model developed by EleutherAI specifically for interpretability research, trained on the deduplicated Pile dataset using Transformer architecture with 1 billion parameters
Pythia-70M-deduped is the smallest model in the Pythia scalable suite developed by EleutherAI, with 70 million parameters. This model is trained on the deduplicated Pile dataset and is specifically designed for interpretability research of language models. It provides 154 training checkpoints for scientific research.
Pythia-1.4B-deduped is a 1.2 billion parameter deduplicated version language model developed by EleutherAI and is part of the Pythia interpretability research suite. This model is trained on the globally deduplicated Pile dataset and is specifically designed for scientific research, with performance comparable to models of the same scale.
The Pythia Scaling Suite is a series of language models developed by EleutherAI, specifically designed to promote interpretability research. This suite includes 8 models of different scales, and each scale has two versions trained on the original Pile dataset and the deduplicated dataset. All models are trained on the exact same data in the same order, facilitating comparative research.
Ashishkr
Evaluates the normality of sentences by checking grammatical correctness and completeness. It is case-sensitive and deducts points for grammatical and case errors.
The remote MCP server provided by Jina AI offers functions such as web content extraction, web search, academic search, image search, query expansion, document re - sorting, and deduplication through the Reader, Embeddings, and Reranker APIs.
The remote MCP server provided by Jina AI implements functions such as web content extraction, web search, academic search, image search, text and image deduplication through various API tools.
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