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Zephyr 7B Beta Channelwise Gptq by robertgshaw2

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Zephyr 7B Beta Channelwise Gptq is an open-source language model by robertgshaw2. Features: 7b LLM, VRAM: 4GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.

  4-bit   Conversational   Deploy:azure   Endpoints compatible   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/robertgshaw2/zephyr-7b-beta-channelwise-gptq 

Zephyr 7B Beta Channelwise Gptq Benchmarks

LLME Score: 0.14158
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Beta Channelwise Gptq (robertgshaw2/zephyr-7b-beta-channelwise-gptq)
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Zephyr 7B Beta Channelwise Gptq Parameters and Internals

LLM NameZephyr 7B Beta Channelwise Gptq
Repository 🤗https://huggingface.co/robertgshaw2/zephyr-7b-beta-channelwise-gptq 
Model Size7b
Required VRAM4 GB
Updated2026-04-22
Maintainerrobertgshaw2
Model Typemistral
Model Files  4.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than robertgshaw2/zephyr-7b-beta-channelwise-gptq.

Rank the Zephyr 7B Beta Channelwise Gptq Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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