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Qra 13B Chat by TeeZee

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Qra 13B Chat is an open-source language model by TeeZee. Features: 13b LLM, VRAM: 26GB, Context: 4K, License: llama2, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:teezee/qra... Base model:teezee/qra-13b-inst...   Conversational Dataset:teezee/chat-alpaca-pl-...   En   Endpoints compatible   Instruct   Llama   Pl   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/TeeZee/Qra-13B-chat 

Qra 13B Chat Benchmarks

LLME Score: 0.1628
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qra 13B Chat (TeeZee/Qra-13B-chat)
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Qra 13B Chat Parameters and Internals

LLM NameQra 13B Chat
Repository 🤗https://huggingface.co/TeeZee/Qra-13B-chat 
Base Model(s)  Qra 13B Instruct   TeeZee/Qra-13b-instruct
Model Size13b
Required VRAM26 GB
Updated2026-05-14
MaintainerTeeZee
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6
Supported Languagesen pl
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Qra 13B Chat

Best Alternatives
Context / RAM
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NexusRaven V2 13B16K / 26 GB80470
CodeLlama 13B Instruct Hf16K / 26 GB4666160
CodeLlama 13B MORepair16K / 26 GB122
CodeLlama 13B Instruct Hf16K / 26 GB286128
TableLLM 13B16K / 26 GB4432
NexusRaven 13B16K / 26 GB14105
Panda Coder 13B16K / 26 GB4314
... Llama 2 13B Instruct Text2sql16K / 26 GB2628
Gen Sim16K / 0.3 GB83
Llama 3 13B Instruct Ft8K / 26.1 GB62
Note: green Score (e.g. "73.2") means that the model is better than TeeZee/Qra-13B-chat.

Rank the Qra 13B Chat 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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