What are the hardware requirements for Ai Medical Model 32bit?

Ai Medical Model 32bit requires approximately 42.6 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ai Medical Model 32bit and how large is it?

Ai Medical Model 32bit is developed by ruslanmv, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Ai Medical Model 32bit perform on standard benchmarks?

Ai Medical Model 32bit has the following published scores: MMLU 68.1. Compare against reference models on this page or on the LLM Explorer leaderboards.

Ai Medical Model 32bit by ruslanmv — VRAM 42.6GB, 8K context

Name: Ai Medical Model 32bit
Author: ruslanmv

Ai Medical Model 32bit is an open-source language model by ruslanmv. Features: 8b LLM, VRAM: 42.6GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13, Arc: 61.4, HellaSwag: 78.7, MMLU: 68.1, GSM8K: 70.1.

32bit Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Dataset:ruslanmv/ai-medical-da... En Endpoints compatible Instruct Llama Quantized Region:us Ruslanmv Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/ruslanmv/ai-medical-model-32bit

Ai Medical Model 32bit Parameters and Internals

Model Type

text generation, inference, transformers, medical

Additional Notes

This model is intended for informational purposes only and should not be used as a substitute for professional medical advice.

LLM Name	Ai Medical Model 32bit
Repository 🤗	https://huggingface.co/ruslanmv/ai-medical-model-32bit
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	42.6 GB
Updated	2026-08-02
Maintainer	ruslanmv
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 4.9 GB: 1-of-7 3.4 GB: 2-of-3 4.8 GB: 2-of-7 2.1 GB: 3-of-3 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7 0.0 GB
Supported Languages	en
Quantization Type	32bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the Ai Medical Model 32bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Ai Medical Model 32bit

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than ruslanmv/ai-medical-model-32bit.