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Open Gpt4 8x7B AWQ by TheBloke

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Open Gpt4 8x7B AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.14.

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

Open Gpt4 8x7B AWQ Benchmarks

LLME Score: 0.13845
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 AWQ (TheBloke/Open_Gpt4_8x7B-AWQ)
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Open Gpt4 8x7B AWQ Parameters and Internals

Model Type 
mixtral
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 AWQ
Repository 🤗https://huggingface.co/TheBloke/Open_Gpt4_8x7B-AWQ 
Model NameOpen Gpt4 8X7B
Model Creatorrombo dawg
Base Model(s)  rombodawg/Open_Gpt4_8x7B   rombodawg/Open_Gpt4_8x7B
Model Size46.7b
Required VRAM24.7 GB
Updated2026-04-04
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
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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SauerkrautLM Mixtral 8x7B AWQ32K / 27.4 GB61
Functionary Medium V2.2 AWQ32K / 24.7 GB31
... Hermes 2 Mixtral 8x7B SFT AWQ32K / 24.7 GB33
...ixtral Instruct 8x7b Zloss AWQ32K / 24.7 GB82
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Open_Gpt4_8x7B-AWQ.

Rank the Open Gpt4 8x7B AWQ Capabilities

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Instruction Following and Task Automation  
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