40labs/sagong-v1
TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 2, 2026Architecture:Transformer Featherless Exclusive Cold
40labs/sagong-v1 is a 7.6 billion parameter instruction-tuned language model, fine-tuned and converted to GGUF format using Unsloth. This model is optimized for efficient deployment and inference, particularly for text-only LLM applications. Its primary strength lies in providing a readily deployable and performant solution for general language tasks, leveraging its efficient training and conversion process.
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Model Overview
40labs/sagong-v1 is a 7.6 billion parameter language model that has been fine-tuned and converted into the GGUF format. This model leverages Unsloth for its training and conversion process, which is noted for enabling faster training times.
Key Characteristics
- Efficient Format: Provided in GGUF format, making it suitable for local inference with tools like
llama-cli. - Optimized Training: Benefited from Unsloth's accelerated training, indicating potential for efficient performance.
- Deployment Ready: Includes an Ollama Modelfile for straightforward deployment within the Ollama ecosystem.
Use Cases
This model is well-suited for:
- Text-only LLM applications: Designed for general language understanding and generation tasks.
- Local Inference: Ideal for developers looking to run LLMs efficiently on consumer hardware using GGUF-compatible runtimes.
- Rapid Prototyping: Its ease of deployment via Ollama makes it convenient for quick experimentation and integration.