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Bielik 11B V2.2 Instruct GPTQ by speakleash

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

Bielik 11B V2.2 Instruct GPTQ Benchmarks

LLME Score: 0.23498
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 GPTQ (speakleash/Bielik-11B-v2.2-Instruct-GPTQ)

Bielik 11B V2.2 Instruct GPTQ Parameters and Internals

Model Type 
causal, decoder-only
Additional Notes 
Be aware that quantised models show reduced response quality and possible hallucinations!
Supported Languages 
Polish (Native)
LLM NameBielik 11B V2.2 Instruct GPTQ
Repository 🤗https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-GPTQ 
Base Model(s)  speakleash/Bielik-11B-v2.2-Instruct   speakleash/Bielik-11B-v2.2-Instruct
Model Size11b
Required VRAM6.2 GB
Updated2024-12-23
Maintainerspeakleash
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagespl
GGUF QuantizationYes
GPTQ QuantizationYes
Quantization Typegguf|gptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.4
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-GPTQ.

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Release v20241217
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