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Stablelm 2 Zephyr 1.6B GGUF by second-state

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Model Card on HF 🤗: https://huggingface.co/second-state/stablelm-2-zephyr-1.6b-GGUF 

Stablelm 2 Zephyr 1.6B GGUF Benchmarks

LLME Score: 0.14263
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stablelm 2 Zephyr 1.6B GGUF (second-state/stablelm-2-zephyr-1.6b-GGUF)
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Stablelm 2 Zephyr 1.6B GGUF Parameters and Internals

Model Type 
causal-lm
Additional Notes 
This model can be quantized using different methods for performance optimization, including Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, and Q8_0.
Supported Languages 
en (full)
LLM NameStablelm 2 Zephyr 1.6B GGUF
Repository 🤗https://huggingface.co/second-state/stablelm-2-zephyr-1.6b-GGUF 
Model NameStableLM 2 Zephyr 1.6B
Model Creatorstabilityai
Base Model(s)  Stablelm 2 Zephyr 1 6b   stabilityai/stablelm-2-zephyr-1_6b
Model Size6b
Required VRAM0.7 GB
Updated2025-09-23
Maintainersecond-state
Model Typestablelm
Instruction-BasedYes
Model Files  0.7 GB   0.9 GB   0.9 GB   0.8 GB   1.0 GB   1.0 GB   1.0 GB   1.2 GB   1.2 GB   1.2 GB   1.4 GB   1.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureStableLmForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.38.0
Vocabulary Size100352
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than second-state/stablelm-2-zephyr-1.6b-GGUF.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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