LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Test Fine Tuning by Tales-Alves

 »  All LLMs  »  Tales-Alves  »  Test Fine Tuning   URL Share it on

  6   
  Arxiv:1910.09700   Endpoints compatible   Gguf   Llama   Lora   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Tales-Alves/Test_Fine_Tuning 

Test Fine Tuning Benchmarks

LLME Score: 0.18728
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test Fine Tuning (Tales-Alves/Test_Fine_Tuning)

Test Fine Tuning Parameters and Internals

LLM NameTest Fine Tuning
Repository 🤗https://huggingface.co/Tales-Alves/Test_Fine_Tuning 
Required VRAM16.1 GB
Updated2025-02-16
MaintainerTales-Alves
Model Files  8.5 GB   0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|up_proj|gate_proj|o_proj|down_proj|v_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16

Best Alternatives to Test Fine Tuning

Best Alternatives
Context / RAM
Downloads
Likes
ComicBot V.2 Gguf32K / 5 GB1520
Phi 2 GGUF0K / 1.2 GB3703103197
Marco O1 GGUF0K / 3 GB75312
...ixtral 8x7B Instruct V0.1 GGUF0K / 15.6 GB31035611
Mixtral 8x7B V0.1 GGUF0K / 15.6 GB6904424
Futfut By Zephyr7b Gguf0K / 5.1 GB8312
Dolphin 2.5 Mixtral 8x7b GGUF0K / 15.6 GB8203301
Dolphin 2.7 Mixtral 8x7b GGUF0K / 15.6 GB10762138
GOAT Llama3.1 V0.10K / 0.2 GB163
Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB96116
Note: green Score (e.g. "73.2") means that the model is better than Tales-Alves/Test_Fine_Tuning.

Rank the Test Fine Tuning 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? 43470 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer