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Mistral 7B V0.1 McGill MEDAL by frankmorales2020

 »  All LLMs  »  frankmorales2020  »  Mistral 7B V0.1 McGill MEDAL   URL Share it on

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Dataset:generator   Finetuned   Generated from trainer   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Tensorboard   Trl
Model Card on HF 🤗: https://huggingface.co/frankmorales2020/Mistral-7B-v0.1_McGill-MEDAL 

Mistral 7B V0.1 McGill MEDAL Benchmarks

LLME Score: 0.19303
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.1 McGill MEDAL (frankmorales2020/Mistral-7B-v0.1_McGill-MEDAL)

Mistral 7B V0.1 McGill MEDAL Parameters and Internals

Use Cases 
Considerations:
More information needed
Training Details 
Data Sources:
generator
LLM NameMistral 7B V0.1 McGill MEDAL
Repository 🤗https://huggingface.co/frankmorales2020/Mistral-7B-v0.1_McGill-MEDAL 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM1.3 GB
Updated2025-02-22
Maintainerfrankmorales2020
Instruction-BasedYes
Model Files  1.3 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|up_proj|down_proj|q_proj|o_proj|v_proj|gate_proj
LoRA Alpha128
LoRA Dropout0.05
R Param256

Quantized Models of the Mistral 7B V0.1 McGill MEDAL

Model
Likes
Downloads
VRAM
Mistral 7B Instruct V0.1 8bit057 GB
Mistral 7B Instruct V0.1 AWQ2534 GB

Best Alternatives to Mistral 7B V0.1 McGill MEDAL

Best Alternatives
Context / RAM
Downloads
Likes
Qwen Megumin0K / 0.1 GB130
Deepthink Reasoning Adapter0K / 0.2 GB278
Mistral 7B Instruct Sa V0.10K / 0 GB60
...Sql Flash Attention 2 Dataeval0K / 1.9 GB323
...82 6142 45d8 9455 Bc68ca4866eb0K / 1.2 GB60
Text To Rule Mistral 20K / 0.3 GB60
...al 7B Instruct V0.3 17193012560K / 0.9 GB90
...al 7B Instruct V0.3 17192977500K / 0.4 GB60
Text To Rule Mistral0K / 0.4 GB60
...al 7B Instruct V0.3 17193413250K / 1.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than frankmorales2020/Mistral-7B-v0.1_McGill-MEDAL.

Rank the Mistral 7B V0.1 McGill MEDAL 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  

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Release v20241227
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