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Open Gpt4 8x7B V0.2 AWQ by TheBloke

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Open Gpt4 8x7B V0.2 AWQ is an open-source language model by TheBloke. Features: 6.5b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit   Autotrain compatible   Awq Base model:quantized:rombodawg... Base model:rombodawg/open gpt4...   Merge   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Open_Gpt4_8x7B_v0.2-AWQ 

Open Gpt4 8x7B V0.2 AWQ Benchmarks

LLME Score: 0.11438
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 V0.2 AWQ (TheBloke/Open_Gpt4_8x7B_v0.2-AWQ)
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Open Gpt4 8x7B V0.2 AWQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
AWQ is an efficient quantify method supporting currently 4-bit quantization, faster than GPTQ
Training Details 
Methodology:
TIES merger of Mixtral-8x7B-Instruct-v0.1 and bagel-dpo-8x7b-v0.2
Model Architecture:
Multi-faceted Mixtral merger with instructions and better models
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 V0.2 AWQ
Repository 🤗https://huggingface.co/TheBloke/Open_Gpt4_8x7B_v0.2-AWQ 
Model NameOpen Gpt4 8X7B V0.2
Model Creatorrombo dawg
Base Model(s)  rombodawg/Open_Gpt4_8x7B_v0.2   rombodawg/Open_Gpt4_8x7B_v0.2
Model Size6.5b
Required VRAM24.7 GB
Updated2025-11-08
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 Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Open Gpt4 8x7B V0.2 AWQ

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Context / RAM
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Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB1181458
Dolphin 2.7 Mixtral 8x7b AWQ32K / 24.7 GB736323
...kaLM Mixtral 8x7B V0.2 DPO AWQ32K / 24.7 GB60
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB60
Karakuri Lm 8x7b Chat V0.1 AWQ32K / 24.7 GB50
Taiwan LLM 8x7B DPO AWQ32K / 24.7 GB71
Functionary Medium V2.4 AWQ32K / 24.7 GB53
...xtral Instruct AWQ Clone Dec2332K / 24.7 GB60
Bagel DPO 8x7b V0.2 AWQ32K / 24.7 GB122
...0.1 LimaRP ZLoss DARE TIES AWQ32K / 24.7 GB73
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Open_Gpt4_8x7B_v0.2-AWQ.

Rank the Open Gpt4 8x7B V0.2 AWQ Capabilities

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Instruction Following and Task Automation  
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