LLM EXPLORER 63,407 MODELS INDEXED

Zephyr 7B Beta GPTQ by TheBloke

By TheBloke · 215 downloads

Zephyr 7B Beta GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: mit, Quantized, LLM Explorer Score: 0.09.

  Arxiv:2305.18290   Arxiv:2310.16944   4-bit Base model:huggingfaceh4/zephy... Base model:quantized:huggingfa...   Conversational Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   Deploy:azure   En   Generated from trainer   Gptq   Mistral   Quantized   Region:us   Safetensors

Zephyr 7B Beta GPTQ Parameters and Internals

Model Type 
GPT-like, fine-tuned
Use Cases 
Primary Use Cases:
chat-based applications, testing via demo
Limitations:
problematic outputs possible, educational and research use recommended
Considerations:
not aligned to human preferences with techniques like RLHF
Supported Languages 
en (primary)
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k, HuggingFaceH4/ultrafeedback_binarized
Methodology:
Direct Preference Optimization
Hardware Used:
multi-GPU (16 devices)
Input Output 
Input Format:
<|system|> ~~ <|user|> {prompt}~~ <|assistant|>
LLM NameZephyr 7B Beta GPTQ
Repository πŸ€—https://huggingface.co/TheBloke/zephyr-7B-beta-GPTQ 
Model NameZephyr 7B Beta
Model CreatorHugging Face H4
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM4.2 GB
Updated2026-07-30
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Zephyr 7B Beta GPTQ

Model
Likes
Downloads
VRAM
Zephyr Finetuned Legal120 GB
Cesar Ptbr060 GB

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/zephyr-7B-beta-GPTQ.