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13B Thorns L2 GPTQ by TheBloke

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  4-bit   Alpaca   Autotrain compatible 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: 0.11684
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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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
Updated2025-06-09
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
13B Thorns L2 GPTQ (TheBloke/13B-Thorns-L2-GPTQ)

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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