Dolphin-Llama3

Dolphin Llama3 8B - Details

Last update on 2025-05-20

Dolphin Llama3 8B is a large language model developed by Cognitive Computations, a community-driven initiative. It features 8b parameters, making it a robust yet efficient model for diverse tasks. The model operates under the Meta Llama 3 Community License Agreement (META-LLAMA-3-CCLA), ensuring open access for research and development. Built on the Llama 3 foundation, it excels in instruction-following, conversation, coding, and agentic capabilities, offering a versatile tool for users seeking advanced AI performance.

Description of Dolphin Llama3 8B

Dolphin Llama3 8B is a large language model curated by Eric Hartford, Lucas Atkins, and Fernando Fernandes, based on Llama-3-8b. It features an 8k context length and is trained on diverse data including GPT4 outputs, enabling strong instruction-following, conversational, and coding skills. The model is uncensored and requires additional alignment layers for ethical use. It supports function calling and agentic abilities, making it versatile for complex tasks.

Parameters & Context Length of Dolphin Llama3 8B

8b 8k

Dolphin Llama3 8B has 8b parameters, placing it in the mid-scale category of open-source LLMs, offering a balance between performance and resource efficiency for moderate complexity tasks. Its 8k context length falls into the moderate range, enabling it to handle extended interactions but not extremely long texts. This combination makes it suitable for applications requiring a mix of depth and efficiency, though it may lack the scale for the most demanding tasks. The model’s uncensored nature and need for alignment layers also highlight the importance of ethical considerations in its deployment.
- Parameter Size: 8b
- Context Length: 8k

Possible Intended Uses of Dolphin Llama3 8B

research

Dolphin Llama3 8B is a versatile model with possible applications in general purpose text generation, code writing and debugging, and research and development. Its possible use cases include assisting with drafting documents, generating creative content, or supporting technical tasks like identifying code errors. In research, it could possibly aid in analyzing data or generating hypotheses, though these possible functions require careful validation. The model’s design possibly enables it to handle complex queries, but its possible effectiveness in specific scenarios depends on further testing and adaptation. Users should thoroughly investigate its suitability for any task before deployment.
- general purpose text generation
- code writing and debugging
- research and development

Possible Applications of Dolphin Llama3 8B

educational tool research assistant code assistant text generation technical documentation tool

Dolphin Llama3 8B has possible applications in areas such as creative writing, technical documentation, and collaborative problem-solving, where its possible strengths in instruction-following and coding could be leveraged. It possibly supports research tasks by generating hypotheses or analyzing patterns, though these possible functions require validation. The model possibly aids in educational settings by providing explanations or interactive learning materials, but its possible effectiveness depends on context-specific testing. Its possible agentic abilities might enhance task automation, though further exploration is needed. Each application must be thoroughly evaluated and tested before use.
- creative writing
- technical documentation
- collaborative problem-solving
- educational tools

Quantized Versions & Hardware Requirements of Dolphin Llama3 8B

16 vram 32 ram

Dolphin Llama3 8B in its medium q4 version requires a GPU with at least 16GB VRAM and a system with 32GB RAM for optimal performance, making it suitable for mid-range hardware setups. This quantization balances precision and efficiency, allowing the model to run on devices with moderate resources while maintaining responsiveness. Users should verify their GPU specifications and system capabilities to ensure compatibility.
fp16, q2, q3, q4, q5, q6, q8

Conclusion

Dolphin Llama3 8B is a large language model developed by Cognitive Computations, featuring 8b parameters and an 8k context length, designed for advanced instruction-following, coding, and agentic tasks. It operates under the Meta Llama 3 Community License Agreement, emphasizing open access while requiring additional alignment layers for ethical use.

References

Huggingface Model Page
Ollama Model Page

Benchmarks

Benchmark Name Score
Instruction Following Evaluation (IFEval) 38.50
Big Bench Hard (BBH) 27.86
Mathematical Reasoning Test (MATH Lvl 5) 5.74
General Purpose Question Answering (GPQA) 4.92
Multimodal Understanding and Reasoning (MUSR) 13.79
Massive Multitask Language Understanding (MMLU-PRO) 19.68
Link: Huggingface - Open LLM Leaderboard
Benchmark Graph
Maintainer
Parameters & Context Length
  • Parameters: 8b
  • Context Length: 8K
Statistics
  • Huggingface Likes: 447
  • Huggingface Downloads: 1K
Intended Uses
  • General Purpose Text Generation
  • Code Writing And Debugging
  • Research And Development
Languages
  • English