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Zarablend L2 7B by zarakiquemparte

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Zarablend L2 7B is an open-source language model by zarakiquemparte. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: other, HF Score: 51.3, LLM Explorer Score: 0.13, Arc: 54.4, HellaSwag: 78.6, MMLU: 47.6, TruthfulQA: 49.4, WinoGrande: 73.3, GSM8K: 4.4.

  Endpoints compatible   Llama   Llama2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/zarakiquemparte/zarablend-l2-7b 

Zarablend L2 7B Benchmarks

ARC: 54.44 vs 96.7 (so35)-43.7%
HellaSwag: 78.62 vs 95.3 (gpt4)-17.5%
MMLU: 47.61 vs 88.3 (so35)-46.1%
TruthfulQA: 49.38 vs 59 (gpt4)-16.3%
WinoGrande: 73.32 vs 87.5 (gpt4)-16.2%
GSM8K: 4.4 vs 96.4 (so35)-95.4%
LLME Score: 0.12682
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 (zarakiquemparte/zarablend-l2-7b)
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Zarablend L2 7B Parameters and Internals

Model Type 
Text Generation
Use Cases 
Limitations:
This model is not intended for supplying factual information or advice in any form
Additional Notes 
This model is a merge of Nous Hermes, Airoboros, and LimaRP models, involving custom scripts for merging and quantization steps.
Training Details 
Methodology:
Model merging using custom scripts and quantization.
Input Output 
Input Format:
Alpaca 2: ### Instruction: ### Response: LimaRP instruction format: <> <> <>
LLM NameZarablend L2 7B
Repository 🤗https://huggingface.co/zarakiquemparte/zarablend-l2-7b 
Model Size7b
Required VRAM13.5 GB
Updated2026-04-01
Maintainerzarakiquemparte
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Zarablend L2 7B

Model
Likes
Downloads
VRAM
Zarablend L2 7B GGUF11592 GB
Zarablend L2 7B GPTQ1093 GB
Zarablend L2 7B GGML822 GB

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A2.41024K / 16.1 GB120
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Note: green Score (e.g. "73.2") means that the model is better than zarakiquemparte/zarablend-l2-7b.

Rank the Zarablend L2 7B 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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