niranjanh123/lfm-sft-hotter-colder-chatgpt-context-aware
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.2BQuant:BF16Context Size:32kPublished:Aug 3, 2026License:otherArchitecture:Transformer Featherless Exclusive Cold
The niranjanh123/lfm-sft-hotter-colder-chatgpt-context-aware model is a fine-tuned language model based on LiquidAI/LFM2.5-1.2B-Thinking. It is specifically trained on the niranjanh123/chatgpt_filtered_sft_traces_context_aware dataset, focusing on context-aware text generation. This model is designed for tasks requiring an understanding of conversational context, making it suitable for chat-based applications.
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Model Overview
This model, niranjanh123/lfm-sft-hotter-colder-chatgpt-context-aware, is a specialized language model built upon the LiquidAI/LFM2.5-1.2B-Thinking base architecture. It has undergone supervised fine-tuning (SFT) using a unique dataset, niranjanh123/chatgpt_filtered_sft_traces_context_aware.
Key Capabilities
- Context-Aware Generation: The primary focus of this model's training was to enhance its ability to understand and utilize conversational context for more relevant and coherent responses.
- Instruction Following: Fine-tuned on filtered ChatGPT traces, it is expected to exhibit improved instruction-following capabilities, particularly in interactive scenarios.
- Text Generation: As a language model, its core function is to generate human-like text based on given prompts and context.
Good For
- Chatbot Development: Its context-aware training makes it well-suited for building conversational AI agents that can maintain coherent dialogue.
- Interactive Applications: Any application where understanding and responding based on previous turns in a conversation is crucial.
- Prototyping Contextual LLM Features: Developers can use this model to experiment with and build features that require a nuanced understanding of conversational flow.