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Llama2 Kazakh 7B GGUF by Ernaz

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Llama2 Kazakh 7B GGUF is an open-source language model by Ernaz. Features: 7b LLM, VRAM: 4.1GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

  Endpoints compatible   Gemma   Gguf   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Ernaz/llama2-kazakh-7b-GGUF 

Llama2 Kazakh 7B GGUF Benchmarks

LLME Score: 0.13666
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 Kazakh 7B GGUF (Ernaz/llama2-kazakh-7b-GGUF)
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Llama2 Kazakh 7B GGUF Parameters and Internals

LLM NameLlama2 Kazakh 7B GGUF
Repository 🤗https://huggingface.co/Ernaz/llama2-kazakh-7b-GGUF 
Model Size7b
Required VRAM4.1 GB
Updated2026-04-08
MaintainerErnaz
Model Typegemma
Model Files  4.1 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.0.dev0
Vocabulary Size256000
Torch Data Typebfloat16

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Context / RAM
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Gemma 7B It8K / 17.1 GB382131243
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Gemma 1.1 7B It GGUF8K / 5.3 GB1281
Train068K / 9.1 GB210
Gemma 7B8K / 17.1 GB360
Gemma 7B Translator 0.48K / 17.1 GB430
Gemma 7B Translator 0.38K / 17.1 GB280
Gemma7B Konosuba8K / 17.1 GB201
Gemma 7B It GGUF8K / 5.3 GB481
Gemma 7B It GGUF8K / 3.1 GB50311
Note: green Score (e.g. "73.2") means that the model is better than Ernaz/llama2-kazakh-7b-GGUF.

Rank the Llama2 Kazakh 7B GGUF 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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