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

L3.1 RP Test by SvalTek

 »  All LLMs  »  SvalTek  »  L3.1 RP Test   URL Share it on

  337   
  Autotrain compatible Base model:quantized:undi95/me... Base model:undi95/meta-llama-3...   Conversational Dataset:severian/internal-know...   En   Endpoints compatible   Gguf   Llama   Pytorch   Quantized   Region:us   Sharded   Unsloth
Model Card on HF 🤗: https://huggingface.co/SvalTek/L3.1-RP-test 

L3.1 RP Test Benchmarks

LLME Score: 0.23104
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.1 RP Test (SvalTek/L3.1-RP-test)

L3.1 RP Test Parameters and Internals

LLM NameL3.1 RP Test
Repository 🤗https://huggingface.co/SvalTek/L3.1-RP-test 
Base Model(s)  Undi95/Meta-Llama-3.1-8B-Claude   Undi95/Meta-Llama-3.1-8B-Claude
Model Size8b
Required VRAM16.1 GB
Updated2024-12-22
MaintainerSvalTek
Model Typellama
Model Files  16.1 GB   4.9 GB   5.7 GB   8.5 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
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to L3.1 RP Test

Best Alternatives
Context / RAM
Downloads
Likes
...truct Gradient 1048K IMat GGUF1024K / 2 GB2886
...B Instruct Gradient 1048K GGUF1024K / 3.2 GB1743
Unhinged Llama3 8B 524K512K / 26.5 GB250
Llama 3 8B Instruct 262K GGUF256K / 3.2 GB1682
... 8B Instruct Reasoner 1o1 V0.3128K / 16.1 GB2247
Reflection Llama 3.1 8B128K / 16.1 GB305117
Alpaca Llama3.1 8B128K / 16.1 GB60
...lama 3.1 Cantonese 8B Instruct128K / 16.1 GB6385
... Horizon AI Korean Advanced 8B128K / 16.1 GB7920
ProductLlama V2128K / 16.1 GB210
Note: green Score (e.g. "73.2") means that the model is better than SvalTek/L3.1-RP-test.

Rank the L3.1 RP Test 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? 40066 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 v20241217
  Support LLM Explorer