jiosephlee/sft_intern_distillation_Intern-S1-mini-lm_complet_only_chat_think_lr5e-05

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Feb 8, 2026Architecture:Transformer Warm

The jiosephlee/sft_intern_distillation_Intern-S1-mini-lm_complet_only_chat_think_lr5e-05 model is an 8 billion parameter language model with a 32768 token context length. This model is a fine-tuned variant, likely derived from the InternLM family, focusing on specific chat completion and reasoning tasks. Its primary differentiator and use case are currently unspecified due to limited information in the provided model card.

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Model Overview

This model, jiosephlee/sft_intern_distillation_Intern-S1-mini-lm_complet_only_chat_think_lr5e-05, is an 8 billion parameter language model with a substantial context length of 32768 tokens. While the specific architecture and development details are not fully provided in the current model card, its naming convention suggests it is a fine-tuned version, potentially distilled from a larger InternLM-based model.

Key Characteristics

  • Parameter Count: 8 billion parameters, indicating a moderately sized model capable of complex language understanding and generation.
  • Context Length: A significant 32768 tokens, allowing it to process and generate long sequences of text, which is beneficial for maintaining context in extended conversations or documents.
  • Fine-tuned Nature: The model name implies it has undergone Supervised Fine-Tuning (SFT) and distillation, likely optimizing it for specific tasks such as chat completion and reasoning, as suggested by "complet_only_chat_think".

Current Limitations

Due to the placeholder nature of the provided model card, detailed information regarding its specific training data, evaluation metrics, intended uses, biases, risks, and performance benchmarks is currently unavailable. Users should exercise caution and conduct their own evaluations before deploying this model in production environments.