gaius-lex/qwen3.6-35b-openSeeker-v0.1
TEXT GENERATIONPricing:Input $0.4 / Cached $0.07 / Output $4Concurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:May 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
gaius-lex/qwen3.6-35b-openSeeker-v0.1 is a 35.1 billion parameter Qwen3.6-based model developed by gaius-lex, fine-tuned from Qwen/Qwen3.6-35B-A3B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a 32768 token context length, it offers enhanced performance for general language tasks.
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Model Overview
gaius-lex/qwen3.6-35b-openSeeker-v0.1 is a 35.1 billion parameter language model developed by gaius-lex. It is fine-tuned from the Qwen/Qwen3.6-35B-A3B base model, leveraging the Qwen3.6 architecture. This model was specifically trained for efficiency, utilizing Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Base Model: Qwen3.6-35B-A3B
- Parameter Count: 35.1 billion parameters
- Context Length: Supports a substantial context window of 32768 tokens
- Training Efficiency: Achieved 2x faster training through the integration of Unsloth and Huggingface's TRL library.
Potential Use Cases
- General Language Understanding: Suitable for a broad range of natural language processing tasks.
- Applications Requiring Large Context: Benefits from its 32768 token context length for processing longer texts or conversations.
- Research and Development: Provides a robust base for further fine-tuning or experimentation, particularly for those interested in efficient training methodologies.