Gemma Ei Oc Structured Train by Holmeister

 ยป  All LLMs  ยป  Holmeister  ยป  Gemma Ei Oc Structured Train   URL Share it on

  Adapter Base model:adapter:google/gemm...   Base model:google/gemma-7b   Finetuned   Generated from trainer   Llama-factory   Lora   Peft   Region:us   Safetensors

Gemma Ei Oc Structured Train Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
๐ŸŒŸ Advertise your project ๐Ÿš€

Gemma Ei Oc Structured Train Parameters and Internals

Additional Notes 
Training used hyperparameters including a learning rate of 0.0003, train batch size of 32, and evaluation batch size of 8.
Training Details 
Data Sources:
emollms_ei_oc_structured
Methodology:
Fine-tuning with LoRA
LLM NameGemma Ei Oc Structured Train
Repository ๐Ÿค—https://huggingface.co/Holmeister/Gemma_ei_oc_structured_train 
Base Model(s)  Gemma 7B   google/gemma-7b
Model Size7b
Required VRAM0.1 GB
Updated2024-08-15
MaintainerHolmeister
Model Files  0.1 GB   0.0 GB
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|k_proj|down_proj|q_proj|up_proj|gate_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param8
Gemma Ei Oc Structured Train (Holmeister/Gemma_ei_oc_structured_train)

Quantized Models of the Gemma Ei Oc Structured Train

Model
Likes
Downloads
VRAM
Gemma 7B306615975117 GB
Gemma 7B0717 GB

Best Alternatives to Gemma Ei Oc Structured Train

Best Alternatives
Context / RAM
Downloads
Likes
CodeAstra 7B0K / 0 GB3959
Qwen1.5 7B Chat Sa V0.10K / 0 GB50
Glue Sst20K / 0 GB129661
Deepseek Llm 7B Chat Sa V0.10K / 0 GB50
Magicoder0K / 0 GB1039210
...eze Embed Tokens Q V Proj Lora0K / 0.1 GB21
Llamaduo Synth Ds V0.10K / 0.2 GB111
...n Hermes Erotic Story Finetune0K / 0 GB440
Storytell0K / 0 GB80
Zephyr 7B Gpo V5 I10K / 0.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than Holmeister/Gemma_ei_oc_structured_train.

Rank the Gemma Ei Oc Structured Train 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  

What open-source LLMs or SLMs are you in search of? 38765 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124