espressovi/SUTRA-qwen3-8b-distil
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 23, 2026License:mitArchitecture:Transformer Open Weights Featherless Exclusive Cold
SUTRA-qwen3-8b-distil is an 8 billion parameter distilled version of the Qwen3-8B-Base model, developed by espressovi. This model is an artifact from the SUTRA project, focusing on efficient performance derived from its larger base model. It is designed for applications requiring a compact yet capable language model.
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SUTRA-qwen3-8b-distil Overview
This model, developed by espressovi, is an 8 billion parameter distilled version of the Qwen3-8B-Base architecture. It serves as an artifact from the SUTRA project, indicating its role in research or specific applications related to that initiative. Distillation typically aims to retain much of the performance of a larger model while significantly reducing its size and computational requirements.
Key Characteristics
- Base Model: Derived from Qwen3-8B-Base, inheriting its foundational capabilities.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and efficiency.
- Context Length: Supports a context window of 32768 tokens, suitable for processing moderately long inputs.
- Distilled Nature: Optimized for efficiency, making it potentially faster and less resource-intensive than its larger counterpart.
Potential Use Cases
- Resource-Constrained Environments: Ideal for deployment where computational resources or memory are limited.
- Edge Devices: Suitable for applications on devices with lower processing power.
- Rapid Prototyping: Its smaller size allows for quicker iteration and experimentation.
- Specific SUTRA Project Applications: Tailored for tasks and objectives defined within the SUTRA project.