AmberYifan/capsd-opc-dedup-marin-8b-base-code_cap_b60000_s0

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 9, 2026License:otherArchitecture:Transformer Featherless Exclusive Cold

The AmberYifan/capsd-opc-dedup-marin-8b-base-code_cap_b60000_s0 is an 8 billion parameter language model, fine-tuned from marin-community/marin-8b-base. This model is specifically adapted for code-related tasks, leveraging a specialized dataset for its training. It is designed to enhance performance in code generation and understanding within its 8192-token context window.

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Model Overview

This model, AmberYifan/capsd-opc-dedup-marin-8b-base-code_cap_b60000_s0, is an 8 billion parameter language model. It is a fine-tuned variant of the marin-community/marin-8b-base architecture, specifically adapted for code-centric applications.

Key Training Details

The model underwent fine-tuning on the capsd_marin-8b-base-n80000-opc-dedup80k__mix_code_cap_b60000_s0 dataset, indicating a focus on code-related data. Training was conducted with the following hyperparameters:

  • Learning Rate: 1e-05
  • Batch Sizes: train_batch_size of 2, eval_batch_size of 8
  • Optimizer: ADAMW_TORCH with default betas and epsilon
  • LR Scheduler: Cosine type with 0.03 warmup steps
  • Epochs: 1

Technical Stack

The training environment utilized:

  • Transformers 5.7.0
  • Pytorch 2.13.0+cu130
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Intended Use

Given its fine-tuning on a code-specific dataset, this model is primarily intended for tasks involving code generation, completion, or analysis. Its 8192-token context length supports processing moderately sized code snippets.

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