DiaratechHf Llama by Yash0109

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Conversational   Dataset:generator   Finetuned   Generated from trainer   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Tensorboard   Trl

DiaratechHf Llama Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DiaratechHf Llama (Yash0109/diaratechHf_llama)

DiaratechHf Llama Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a fine-tuned version of the base model mistralai/Mistral-7B-Instruct-v0.2. More information is needed for various aspects like model description, intended uses, limitations, and training data.
Training Details 
Data Sources:
generator
LLM NameDiaratechHf Llama
Repository ๐Ÿค—https://huggingface.co/Yash0109/diaratechHf_llama 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM1.2 GB
Updated2024-08-15
MaintainerYash0109
Instruction-BasedYes
Model Files  1.2 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|q_proj|k_proj|gate_proj|lm_head|v_proj|down_proj|o_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

Best Alternatives to DiaratechHf Llama

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 Yash0109/diaratechHf_llama.

Rank the DiaratechHf Llama Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227