meditsolutions_-_Llama-3.2-SUN-2.5B-chat-awq

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Llama-3.2-SUN-2.5B-chat - AWQ

• Model creator: https://huggingface.co/meditsolutions/
• Original model: https://huggingface.co/meditsolutions/Llama-3.2-SUN-2.5B-chat/

Original model description:

language:

• en license: llama3.2 library_name: transformers base_model:
• meta-llama/Llama-3.2-1B-Instruct datasets:
• argilla/OpenHermesPreferences
• argilla/magpie-ultra-v0.1
• argilla/Capybara-Preferences-Filtered
• mlabonne/open-perfectblend
• HuggingFaceTB/everyday-conversations-llama3.1-2k
• WizardLMTeam/WizardLM_evol_instruct_V2_196k
• ProlificAI/social-reasoning-rlhf pipeline_tag: text-generation model-index:
• name: Llama-3.2-SUN-2.5B-chat results:
  • task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
    • type: inst_level_strict_acc and prompt_level_strict_acc value: 56.04 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.5B-chat name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
    • type: acc_norm value: 9.41 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.5B-chat name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
    • type: exact_match value: 5.06 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.5B-chat name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
    • type: acc_norm value: 1.23 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.5B-chat name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
    • type: acc_norm value: 1.11 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.5B-chat name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
    • type: acc value: 9.04 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=meditsolutions/Llama-3.2-SUN-2.5B-chat name: Open LLM Leaderboard

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MedIT SUN 2.5B

<div align="center"> <img src="https://i.ibb.co/PF0TdMJ/imagine-image-9a56cee7-0f4f-4cc2-b265-a5b8d04f266b.png" alt="Llama-3.2-MedIT-SUN-2.5B" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;"> </div>

Base Model

• Llama 3.2 1B

Extended Size

• 1B to 2.5B parameters

Extension Method

• Proprietary technique developed by MedIT Solutions

Fine-tuning

• Open (or open subsets allowing for commercial use) open datasets from HF
• Open (or open subsets allowing for commercial use) SFT datasets from HF

Training Status

• Current version: chat-1.0.0

Key Features

• Built on Llama 3.2 architecture
• Expanded from 1B to 2.47B parameters
• Optimized for open-ended conversations
• Incorporates supervised fine-tuning for improved performance

Use Case

• General conversation and task-oriented interactions

Limitations As the model is still in training, performance and capabilities may vary. Users should be aware that the model is not in its final form and may exhibit inconsistencies or limitations typical of in-progress AI models.

Disclaimer and Safety Considerations The Model is designed to be used as a smart assistant but not as a knowledge source within your applications, systems, or environments. It is not intended to provide 100% accurate answers, especially in scenarios where high precision and accuracy are

Open LLM Leaderboard Evaluation Results

Detailed results can be found here