Zephyr Quiklang 3B 4K GPTQ by TheBloke

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  4-bit Base model:quantized:walmart-t... Base model:walmart-the-bag/zep...   Causal lm   Conversational   Custom code   Dataset:teknium/openhermes   Feature-extraction   Gptq   Quantized   Region:us   Safetensors   Stablelm epoch

Zephyr Quiklang 3B 4K GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Quiklang 3B 4K GPTQ (TheBloke/zephyr-quiklang-3b-4K-GPTQ)

Zephyr Quiklang 3B 4K GPTQ Parameters and Internals

Model Type 
stablelm_epoch
Additional Notes 
This model is a finetune with 1000 more samples of openhermes on top of 10,000 samples from the toxic-dpo and openhermes datasets.
Training Details 
Data Sources:
toxic-dpo, openhermes
Methodology:
Finetune
Hardware Used:
1xA6000-48GB
LLM NameZephyr Quiklang 3B 4K GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/zephyr-quiklang-3b-4K-GPTQ 
Model NameZephyr Quiklang 3B 4K
Model Creatorwbag
Base Model(s)  Zephyr Quiklang 3B 4K   Walmart-the-bag/zephyr-quiklang-3b-4K
Model Size3b
Required VRAM1.8 GB
Updated2024-12-23
MaintainerTheBloke
Model Typestablelm_epoch
Model Files  1.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureStableLMEpochForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/zephyr-quiklang-3b-4K-GPTQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217