ReMM SLERP L2 13B AWQ by TheBloke

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ReMM SLERP L2 13B AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.09.

  4-bit   Awq Base model:quantized:undi95/re... Base model:undi95/remm-slerp-l...   Llama   Quantized   Region:us   Safetensors

ReMM SLERP L2 13B AWQ Benchmarks

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 AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Quantized by TheBloke using the AWQ method, which supports efficient low-bit weight quantization.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameReMM SLERP L2 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/ReMM-SLERP-L2-13B-AWQ 
Model NameReMM SLERP L2 13B
Model CreatorUndi95
Base Model(s)  ReMM SLERP L2 13B   Undi95/ReMM-SLERP-L2-13B
Model Size13b
Required VRAM7.2 GB
Updated2026-04-13
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
AWQ QuantizationYes
Quantization Typeawq
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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/ReMM-SLERP-L2-13B-AWQ.

Rank the ReMM SLERP L2 13B AWQ Capabilities

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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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Release v20260328a