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13B Thorns L2 GPTQ by TheBloke

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13B Thorns L2 GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

  4-bit   Alpaca Base model:calderaai/13b-thorn... Base model:quantized:calderaai...   Cot   Gptq   Llama   Merge   Mix   Quantized   Region:us   Safetensors   Uncensored   Vicuna
Model Card on HF 🤗: https://huggingface.co/TheBloke/13B-Thorns-L2-GPTQ 

13B Thorns L2 GPTQ Benchmarks

LLME Score: 0.09249
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
13B Thorns L2 GPTQ (TheBloke/13B-Thorns-L2-GPTQ)
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13B Thorns L2 GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model utilizes a new merge method called Spherical Linear Interpolation (SLERP) to combine data resulting in a coherent fusion of different models' strengths.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM Name13B Thorns L2 GPTQ
Repository 🤗https://huggingface.co/TheBloke/13B-Thorns-L2-GPTQ 
Model Name13B Thorns L2
Model CreatorCalderaAI
Base Model(s)  13B Thorns L2   CalderaAI/13B-Thorns-l2
Model Size13b
Required VRAM7.3 GB
Updated2026-04-04
MaintainerTheBloke
Model Typellama
Model Files  7.3 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32032
Torch Data Typefloat16

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OrcaMaid V3 13B 32K GPTQ32K / 7.3 GB163
OrcaMaid V2 FIX 13B 32K GPTQ32K / 7.3 GB64
EverythingLM 13B 16K GPTQ16K / 7.3 GB2614
LlongOrca 13B 16K GPT16K / 7.3 GB50
WhiteRabbitNeo 13B GPTQ16K / 7.3 GB824
Tinybra 13B GPTQ 4BIT16K / 7 GB50
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/13B-Thorns-L2-GPTQ.

Rank the 13B Thorns L2 GPTQ 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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