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Zephyr Quiklang 3B 4K GGUF by TheBloke

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Zephyr Quiklang 3B 4K GGUF is an open-source language model by TheBloke. Features: 3b LLM, VRAM: 1.2GB, License: other, Quantized, LLM Explorer Score: 0.11.

  Causal lm   Conversational   Dataset:teknium/openhermes   Gguf   Quantized   Region:us   Stablelm epoch
Model Card on HF 🤗: https://huggingface.co/TheBloke/zephyr-quiklang-3b-4K-GGUF 

Zephyr Quiklang 3B 4K GGUF Benchmarks

LLME Score: 0.11344
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 GGUF (TheBloke/zephyr-quiklang-3b-4K-GGUF)
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Zephyr Quiklang 3B 4K GGUF Parameters and Internals

Model Type 
stablelm_epoch
Additional Notes 
This is the 4K version with 1000 more samples of openhermes.
Training Details 
Data Sources:
teknium/openhermes, unalignment/toxic-dpo-v0.1
Data Volume:
10,000 samples
Methodology:
Finetune with toxic-dpo and openhermes datasets
Context Length:
4096
Hardware Used:
1xA6000-48GB
Input Output 
Input Format:
<|system|> {system_message}~~ <|user|> {prompt}~~ <|assistant|>
Accepted Modalities:
text
LLM NameZephyr Quiklang 3B 4K GGUF
Repository 🤗https://huggingface.co/TheBloke/zephyr-quiklang-3b-4K-GGUF 
Model NameZephyr Quiklang 3B 4K
Model Creatorwbag
Base Model(s)  Zephyr Quiklang 3B 4K   Walmart-the-bag/zephyr-quiklang-3b-4K
Model Size3b
Required VRAM1.2 GB
Updated2026-04-23
MaintainerTheBloke
Model Typestablelm_epoch
Model Files  1.2 GB   1.5 GB   1.4 GB   1.2 GB   1.6 GB   1.7 GB   1.6 GB   1.9 GB   2.0 GB   1.9 GB   2.3 GB   3.0 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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

Rank the Zephyr Quiklang 3B 4K GGUF Capabilities

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Instruction Following and Task Automation  
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