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Medichat Llama3 8B by sethuiyer

By sethuiyer · 28 downloads
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Medichat Llama3 8B is an open-source language model by sethuiyer. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: other, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.14, Arc: 59.1, HellaSwag: 82.9, MMLU: 65.2, GSM8K: 60.4.

  Merged Model   16bit Base model:locutusque/llama-3-... Base model:ruslanmv/medical-ll... Base model:undi95/llama-3-unho...   Conversational Dataset:jondurbin/airoboros-3....   Dataset:m-a-p/code-feedback Dataset:maziyarpanahi/wizardlm... Dataset:microsoft/orca-math-wo... Dataset:mlabonne/orpo-dpo-mix-... Dataset:open-orca/slimorca-ded... Dataset:ruslanmv/ai-medical-ch...   Deploy:azure   En   Endpoints compatible   Instruct   Llama   Medical   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sethuiyer/Medichat-Llama3-8B 

Medichat Llama3 8B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Medical
Applications:
Medical consultation, Health information
Primary Use Cases:
Medical advice, Health discussions
Additional Notes 
The model is available in quantized versions for easier deployment.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
mlabonne/orpo-dpo-mix-40k, Open-Orca/SlimOrca-Dedup, jondurbin/airoboros-3.2, microsoft/orca-math-word-problems-200k, m-a-p/Code-Feedback, MaziyarPanahi/WizardLM_evol_instruct_V2_196k, ruslanmv/ai-medical-chatbot
Model Architecture:
LLaMa-3
Input Output 
Input Format:
Chat-based prompts
Accepted Modalities:
text
Output Format:
Generated text responses
Performance Tips:
Ensure that the prompt is clear and specific to medical topics for optimal performance.
LLM NameMedichat Llama3 8B
Repository 🤗https://huggingface.co/sethuiyer/Medichat-Llama3-8B 
Base Model(s)  Llama 3 Unholy 8B   Llama 3 Neural Chat V1 8B   ruslanmv/Medical-Llama3-8B-16bit   Undi95/Llama-3-Unholy-8B   Locutusque/llama-3-neural-chat-v1-8b   ruslanmv/Medical-Llama3-8B-16bit
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-08-08
Maintainersethuiyer
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Supported Languagesen
Quantization Type16bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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