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Sft Model Test0 by kimdeokgi

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Sft Model Test0 is an open-source language model by kimdeokgi. Features: 21.4b LLM, VRAM: 43GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.13.

  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kimdeokgi/sft_model_test0 

Sft Model Test0 Benchmarks

LLME Score: 0.13319
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sft Model Test0 (kimdeokgi/sft_model_test0)
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Sft Model Test0 Parameters and Internals

Supported Languages 
en ()
Training Details 
Methodology:
Supervised fine-tuning
LLM NameSft Model Test0
Repository 🤗https://huggingface.co/kimdeokgi/sft_model_test0 
Model Size21.4b
Required VRAM43 GB
Updated2025-02-20
Maintainerkimdeokgi
Model Typellama
Model Files  4.8 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   3.4 GB: 9-of-9
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Is Biased0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

Best Alternatives to Sft Model Test0

Best Alternatives
Context / RAM
Downloads
Likes
Luxia 21.4B Alignment V1.232K / 43 GB84658
Luxia 21.4B Alignment V1.032K / 42.8 GB1311933
UNA ThePitbull 21.4B V232K / 43 GB1616
Final Model Test V232K / 43 GB50
DPO Model Test132K / 43 GB50
Sft Model Test132K / 43 GB70
UNA ThePitbull 21.4 V132K / 43 GB75
Merge Model Test232K / 42.8 GB80
Merge Model Test132K / 42.8 GB60
Alignment Model Test932K / 43 GB410
Note: green Score (e.g. "73.2") means that the model is better than kimdeokgi/sft_model_test0.

Rank the Sft Model Test0 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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