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LlamaGuard 7B GPTQ 4bit 128g Actorder True by SebastianSchramm

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Model Card on HF 🤗: https://huggingface.co/SebastianSchramm/LlamaGuard-7b-GPTQ-4bit-128g-actorder_True 

LlamaGuard 7B GPTQ 4bit 128g Actorder True Benchmarks

LLME Score: 0.12457
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LlamaGuard 7B GPTQ 4bit 128g Actorder True (SebastianSchramm/LlamaGuard-7b-GPTQ-4bit-128g-actorder_True)
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LlamaGuard 7B GPTQ 4bit 128g Actorder True Parameters and Internals

Model Type 
quantized
Additional Notes 
Refer to quantization details outlined.
Supported Languages 
en (high)
Training Details 
Methodology:
quantized to 4bit, group_size 128, act-order=True with auto-gptq integration
LLM NameLlamaGuard 7B GPTQ 4bit 128g Actorder True
Repository 🤗https://huggingface.co/SebastianSchramm/LlamaGuard-7b-GPTQ-4bit-128g-actorder_True 
Base Model(s)  LlamaGuard 7B   meta-llama/LlamaGuard-7b
Model Size7b
Required VRAM2.9 GB
Updated2025-09-23
MaintainerSebastianSchramm
Model Typellama
Model Files  1.0 GB: 2-of-4   1.0 GB: 3-of-4   0.9 GB: 4-of-4
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SebastianSchramm/LlamaGuard-7b-GPTQ-4bit-128g-actorder_True.

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Release v20241124
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