
# deepnight-research/lil-c3po
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<img src="./lil-c3po.jpg" style="width: 100%; height: auto;"/></div>

## Model Details:
lil-c3po is an open-source large language model (LLM) resulting from the linear merge of two distinct
fine-tuned Mistral-7B models, internally referred to as c3-1 and c3-2. These models, developed in-house, 
bring together unique characteristics to enhance performance and utility.

## Model Architecture:
lil-c3po inherits its architecture from the combined c3-1 and c3-2 models, 
incorporating features such as Grouped-Query Attention, Sliding-Window Attention, and Byte-fallback BPE tokenizer. 
This fusion aims to capitalize on the strengths of both models for improved language understanding and generation.

## Training Details:
- The first model, internally referred to as c3-1, is a 7B parameter Large Language Model
fine-tuned on the Intel Gaudi 2 processor.
It utilizes the Direct Performance Optimization (DPO) method and is designed to excel in various language-related tasks.
- The second model, denoted as c3-2, is an instruct fine-tuned version of Mistral-7B.
Its architecture features improvements in instruct fine-tuning, contributing to enhanced language understanding in instructional contexts.

## License:
lil-c3po is released under the MIT license, fostering open-source collaboration and innovation.

## Intended Use:
This merged model is suitable for a broad range of language-related tasks,
inheriting the capabilities of the fine-tuned c3-1 and c3-2 models. Users interested in language tasks can leverage lil-c3po's capabilities.

## Out-of-Scope Uses:
While lil-c3po is versatile, it is important to note that, in most cases, fine-tuning may be necessary for specific tasks.
Additionally, the model should not be used to intentionally create hostile or alienating environments for people.
{"language": ["en"], "license": "mit"}
transformers safetensors mistral text-generation en license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us