OpenZephyrChat V0.2 AWQ by TheBloke

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  4-bit   Awq   En   Merge   Mistral   Openchat   Quantized   Region:us   Safetensors   Zephyr

OpenZephyrChat V0.2 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenZephyrChat V0.2 AWQ (TheBloke/OpenZephyrChat-v0.2-AWQ)
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OpenZephyrChat V0.2 AWQ Parameters and Internals

Model Type 
mistral, merge, zephyr, openchat
Use Cases 
Areas:
research, commercial applications
Limitations:
Currently only supported with NVIDIA GPUs
Additional Notes 
AWQ models support 4-bit quantization, providing efficient inference with GPUs.
Supported Languages 
en (primarily)
Training Details 
Data Sources:
Zephyr-beta, OpenChat-3.5-1210
Methodology:
Slerp merge using the mergekit repository
Context Length:
4096
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
generated response
LLM NameOpenZephyrChat V0.2 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/OpenZephyrChat-v0.2-AWQ 
Model NameOpenZephyrChat V0.2
Model CreatorFredi
Base Model(s)  Fredithefish/OpenZephyrChat-v0.2   Fredithefish/OpenZephyrChat-v0.2
Model Size7.2b
Required VRAM4.2 GB
Updated2025-12-17
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
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 TheBloke/OpenZephyrChat-v0.2-AWQ.

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