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Zarablend L2 7B GGML by TheBloke

 »  All LLMs  »  TheBloke  »  Zarablend L2 7B GGML   URL Share it on

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Base model:finetune:zarakiquem... Base model:zarakiquemparte/zar...   Ggml   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Zarablend-L2-7B-GGML 

Zarablend L2 7B GGML Benchmarks

LLME Score: 0.10316
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zarablend L2 7B GGML (TheBloke/Zarablend-L2-7B-GGML)
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Zarablend L2 7B GGML Parameters and Internals

Model Type 
llama
Use Cases 
Limitations:
This model is not intended for supplying factual information or advice in any form
Additional Notes 
The model uses model quantization methods including GGML and GPTQ. The GGML format has been deprecated in favor of GGUF as of August 21st, 2023.
Training Details 
Methodology:
Zarablend L2 7B is a merged model using Nous Hermes Llama2 7b as a base with Airoboros L2 7B GPT4 2.0 and the resulting merge was combined with LimaRP LLama2 7B Lora.
Input Output 
Input Format:
Alpaca 2 Instruction: {prompt} Response:; LimaRP format: <> <> <>
LLM NameZarablend L2 7B GGML
Repository 🤗https://huggingface.co/TheBloke/Zarablend-L2-7B-GGML 
Model NameZarablend L2 7B
Model CreatorZaraki Quem Parte
Base Model(s)  Zarablend L2 7B   zarakiquemparte/zarablend-l2-7b
Model Size7b
Required VRAM2.9 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  2.9 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.2 GB   4.1 GB   3.8 GB   4.7 GB   5.1 GB   4.8 GB   4.7 GB   5.5 GB   7.1 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Zarablend-L2-7B-GGML.

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