StableLM-7B-SFT-v7-epoch-3
| Property | Value |
|---|---|
| Base Model | StableLM 7B |
| Training Type | Supervised Fine-Tuning |
| License | CC BY-SA-4.0 |
| Language | English |
| Training Data | Open Assistant Dataset + Various Sources |
What is stablelm-7b-sft-v7-epoch-3?
This is the seventh iteration of Open-Assistant's supervised fine-tuning efforts, built on the StableLM 7B architecture. The model represents a significant advancement in assistant-style conversational AI, trained on carefully curated human demonstrations collected through the open-assistant.io platform prior to April 12, 2023.
Implementation Details
The model utilizes a sophisticated training pipeline with DeepSpeed optimization, implementing gradient checkpointing and flash attention for efficient training. It was trained for 3 epochs (12,000 steps) using a mixed-precision approach with FP16 and a robust zero-stage-2 optimization strategy.
- Gradient accumulation steps: 2
- Batch size: 4 per device
- Maximum sequence length: 4096 tokens
- Warmup steps: 100
Core Capabilities
- Specialized prompt format using <|prompter|> and <|assistant|> tokens
- Multi-turn conversation handling
- Comprehensive response generation across various topics
- Support for both general queries and specialized tasks
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its careful fine-tuning on high-quality human demonstrations and its integration of multiple diverse datasets including Vicuna, Dolly15k, and specialized mathematics and coding instructions.
Q: What are the recommended use cases?
The model is well-suited for assistant-style interactions, including general Q&A, coding assistance, mathematical problem-solving, and structured dialogue scenarios where context-aware responses are needed.
