AmberYifan/capsd-less-ultra-opc-marin-8b-base-code_less_b1000_s0

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 30, 2026License:otherArchitecture:Transformer Featherless Exclusive Cold

AmberYifan/capsd-less-ultra-opc-marin-8b-base-code_less_b1000_s0 is an 8 billion parameter language model fine-tuned from marin-community/marin-8b-base. This model was trained on a specific dataset, capsd_marin-8b-base-n80000-opc__mix_code_less_b1000_s0, with a focus on code-related tasks. It utilizes an 8192 token context length and is intended for applications requiring a specialized base model for code processing.

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Model Overview

This model, AmberYifan/capsd-less-ultra-opc-marin-8b-base-code_less_b1000_s0, is an 8 billion parameter language model derived from marin-community/marin-8b-base. It has been fine-tuned with a specific dataset, capsd_marin-8b-base-n80000-opc__mix_code_less_b1000_s0, indicating a specialization towards code-related tasks, though further details on its exact capabilities are not provided in the original model card.

Training Details

The model was trained using the following key hyperparameters:

  • Learning Rate: 1e-05
  • Batch Size: 2 (train), 8 (eval)
  • Gradient Accumulation Steps: 8, leading to a total effective batch size of 64
  • Optimizer: ADAMW_TORCH
  • LR Scheduler: Cosine with 0.03 warmup steps
  • Epochs: 1

It was trained on 4 GPUs using a multi-GPU distributed setup. The training utilized Transformers 5.7.0, Pytorch 2.13.0+cu130, Datasets 4.0.0, and Tokenizers 0.22.2.

Intended Use

While specific use cases are not detailed, its fine-tuning on a code-centric dataset suggests its potential for applications involving code generation, completion, or analysis. Users should be aware that the model card indicates a need for more information regarding its intended uses and limitations.