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Open Gpt4 8x7B GPTQ by TheBloke

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  4-bit Base model:quantized:rombodawg... Base model:rombodawg/open gpt4...   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Open_Gpt4_8x7B-GPTQ 

Open Gpt4 8x7B GPTQ Benchmarks

LLME Score: 0.12763
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Gpt4 8x7B GPTQ (TheBloke/Open_Gpt4_8x7B-GPTQ)
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Open Gpt4 8x7B GPTQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
The model is quantized using hardware from Massed Compute and has several available GPTQ parameter permutations for different hardware.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameOpen Gpt4 8x7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Open_Gpt4_8x7B-GPTQ 
Model NameOpen Gpt4 8X7B
Model Creatorrombo dawg
Base Model(s)  rombodawg/Open_Gpt4_8x7B   rombodawg/Open_Gpt4_8x7B
Model Size46.7b
Required VRAM23.8 GB
Updated2026-01-24
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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/Open_Gpt4_8x7B-GPTQ.

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Release v20241124
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