chargoddard/internlm2-7b-llama
chargoddard/internlm2-7b-llama is an 8 billion parameter language model, a Llama-format conversion of the InternLM2-7B base model. This model provides the InternLM2 architecture and capabilities within a widely compatible Llama-format weight structure. It is primarily designed for developers seeking to leverage InternLM2's performance with existing Llama-compatible tooling and workflows.
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Overview
This model, chargoddard/internlm2-7b-llama, is an 8 billion parameter language model. It represents a conversion of the original InternLM2-7B base model into a Llama-format weight structure. This conversion allows the InternLM2 architecture to be utilized within environments and frameworks that are optimized for Llama models.
Key Characteristics
- Architecture: Based on the InternLM2-7B model.
- Parameter Count: 8 billion parameters.
- Format: Converted to Llama-format weights for broader compatibility.
- Context Length: Supports an 8192-token context window.
Use Cases
- Llama Ecosystem Integration: Ideal for developers who want to experiment with InternLM2's capabilities but prefer or require the Llama weight format for their existing infrastructure or tooling.
- Research and Development: Provides a compatible version of InternLM2 for comparative studies or integration into Llama-centric research projects.
This model is subject to the original InternLM license.