Medilora Mistral 7B by Medilora

 »  All LLMs  »  Medilora  »  Medilora Mistral 7B   URL Share it on

Medilora Mistral 7B is an open-source language model by Medilora. Features: 7b LLM, VRAM: 14.4GB, License: mit, Quantized, LLM Explorer Score: 0.11.

  Arxiv:1910.09700   Conversational Dataset:medilora/mimic iii dia... Dataset:medilora/pubmedqa-shar...   En   Endpoints compatible   Gguf   Lora   Medical   Mistral   Q3   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Medilora Mistral 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Medilora Mistral 7B Parameters and Internals

Supported Languages 
en (English)
Training Details 
Data Sources:
Medilora/us_medical_license_exam_textbooks_en, Medilora/mimic_iii_diagnosis_anonymous, Medilora/PubMedQA-ShareGPT
LLM NameMedilora Mistral 7B
Repository 🤗https://huggingface.co/Medilora/Medilora-Mistral-7B 
Model Size7b
Required VRAM14.4 GB
Updated2026-05-20
MaintainerMedilora
Model Files  3.8 GB   4.1 GB   14.5 GB   0.0 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq3|gguf|q4_k
Model ArchitectureAutoModelForCausalLM
Licensemit
Is Biasednone
Tokenizer ClassLlamaTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8

Best Alternatives to Medilora Mistral 7B

Best Alternatives
Context / RAM
Downloads
Likes
ShoriRP V0.75d0K / 0.2 GB5233
...wen Math 7b 24 1 100 1 Nonmath0K / 15.2 GB240
ReWiz 7B0K / 14.5 GB1740
CleverBoi 7B V30K / 0.2 GB1790
Mistral 7B V0.1 Hitl0K / 14.4 GB130
...rendyol 7B Base V1 MtLoRA Entr0K / 14.6 GB730
Mistral Llm V40K / 14.4 GB150
...rix Philosophy Mistral 7B LoRA0K / 14.4 GB13469
Gemma 7B English To Hinglish0K / 17.1 GB370
Gumzo Llama 000K / 0.3 GB370
Note: green Score (e.g. "73.2") means that the model is better than Medilora/Medilora-Mistral-7B.

Rank the Medilora Mistral 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 53999 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a