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Bielik 11B V2.2 Instruct AWQ by speakleash

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  4-bit   Autotrain compatible   Awq Base model:quantized:speakleas... Base model:speakleash/bielik-1...   Conversational   Finetuned   Gguf   Instruct   Mistral   Pl   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-AWQ 

Bielik 11B V2.2 Instruct AWQ Benchmarks

LLME Score: 0.21859
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bielik 11B V2.2 Instruct AWQ (speakleash/Bielik-11B-v2.2-Instruct-AWQ)

Bielik 11B V2.2 Instruct AWQ Parameters and Internals

Model Type 
causal decoder-only, text generation
Additional Notes 
Quantised models show reduced response quality and possible hallucinations.
Supported Languages 
Polish (Fluent)
LLM NameBielik 11B V2.2 Instruct AWQ
Repository 🤗https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-AWQ 
Base Model(s)  speakleash/Bielik-11B-v2.2-Instruct   speakleash/Bielik-11B-v2.2-Instruct
Model Size11b
Required VRAM6.2 GB
Updated2025-02-05
Maintainerspeakleash
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagespl
GGUF QuantizationYes
AWQ QuantizationYes
Quantization Typegguf|awq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than speakleash/Bielik-11B-v2.2-Instruct-AWQ.

Rank the Bielik 11B V2.2 Instruct AWQ 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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Release v20241227
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