daman1209arora/Reliability-1.7B-final-brier-ckpt-1200

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 17, 2026Architecture:Transformer Featherless Exclusive Cold

The daman1209arora/Reliability-1.7B-final-brier-ckpt-1200 is a 1.7 billion parameter causal language model, based on the Qwen3ForCausalLM architecture. This model represents a specific checkpoint at global training step 1200 from the 'Reliability-1.7B-final/brier_1e-6_rloo' run. It is provided with BF16 safetensors, model configuration, and tokenizer files, making it suitable for applications requiring a compact yet capable language model.

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Model Overview

The daman1209arora/Reliability-1.7B-final-brier-ckpt-1200 is a 1.7 billion parameter causal language model. It is built upon the Qwen3ForCausalLM architecture, indicating its foundation in the Qwen series of models known for their strong performance across various language tasks.

Key Characteristics

  • Architecture: Qwen3ForCausalLM, a robust causal language model design.
  • Parameter Count: 1.7 billion parameters, offering a balance between performance and computational efficiency.
  • Checkpoint: This specific release is a checkpoint taken at global training step 1200 from the Reliability-1.7B-final/brier_1e-6_rloo training run.
  • Format: The model weights are provided in BF16 safetensors format, which is efficient for deployment and inference.
  • Included Files: The repository includes the model configuration and tokenizer files, essential for proper loading and usage of the model.

Potential Use Cases

This model is suitable for developers looking for a moderately sized language model for tasks such as:

  • Text generation
  • Basic question answering
  • Summarization
  • Code completion (if fine-tuned for it)

Its compact size makes it a good candidate for applications where computational resources are a consideration, while still leveraging the capabilities of the Qwen3 architecture.

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