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ReMM SLERP L2 13B by Undi95

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Undi95/ReMM-SLERP-L2-13B 

ReMM SLERP L2 13B Benchmarks

ARC: 60.92 vs 96.7 (so35)-37%
HellaSwag: 83.56 vs 95.3 (gpt4)-12.3%
MMLU: 55.33 vs 88.3 (so35)-37.3%
TruthfulQA: 51.97 vs 59 (gpt4)-11.9%
WinoGrande: 75.22 vs 87.5 (gpt4)-14%
GSM8K: 9.17 vs 96.4 (so35)-90.5%
LLME Score: 0.1505
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReMM SLERP L2 13B (Undi95/ReMM-SLERP-L2-13B)
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ReMM SLERP L2 13B Parameters and Internals

Model Type 
text generation
Additional Notes 
Re:MythoMax (ReMM) is a recreation trial combining Mythologic and Huginn models using SLERP.
Input Output 
Input Format:
Alpaca Prompt Template
Accepted Modalities:
text
Output Format:
Free-form text
LLM NameReMM SLERP L2 13B
Repository 🤗https://huggingface.co/Undi95/ReMM-SLERP-L2-13B 
Model Size13b
Required VRAM52.1 GB
Updated2025-08-24
MaintainerUndi95
Model Typellama
Model Files  21.0 GB: 1-of-3   20.7 GB: 2-of-3   10.4 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.32.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Quantized Models of the ReMM SLERP L2 13B

Model
Likes
Downloads
VRAM
ReMM SLERP L2 13B AWQ27287 GB
ReMM SLERP L2 13B GGUF610365 GB
ReMM SLERP L2 13B GPTQ8107 GB

Best Alternatives to ReMM SLERP L2 13B

Best Alternatives
Context / RAM
Downloads
Likes
Luminaura RP 13B128K / 26 GB60
Yarn Llama 2 13B 128K128K / 26 GB207112
Agent Llama2 13B 80K80K / 26.4 GB50
Chat Llama2 13B 80K80K / 52.8 GB70
LongAlign 13B 64K64K / 26 GB4813
LongAlign 13B 64K64K / 26 GB1113
LongAlign 13B 64K Base64K / 26 GB453
LongAlign 13B 64K Base64K / 26 GB63
Openbuddy Llama2 13B V15p1 64K64K / 26.1 GB44
Openbuddy Llama2 13b64k V1564K / 26.1 GB72
Note: green Score (e.g. "73.2") means that the model is better than Undi95/ReMM-SLERP-L2-13B.

Rank the ReMM SLERP L2 13B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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