Base model:quantized:walmart-t... Base model:walmart-the-bag/zep... 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
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Zephyr Quiklang 3B 4K GGUF Parameters and Internals
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| LLM Name | Zephyr Quiklang 3B 4K GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/zephyr-quiklang-3b-4K-GGUF |
| Model Name | Zephyr Quiklang 3B 4K |
| Model Creator | wbag |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 1.2 GB |
| Updated | 2025-09-17 |
| Maintainer | TheBloke |
| Model Type | stablelm_epoch |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | other |
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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124