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Orangetin OpenHermes Mixtral 8x7B AWQ by TheBloke

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Model Card on HF 🤗: https://huggingface.co/TheBloke/orangetin-OpenHermes-Mixtral-8x7B-AWQ 

Orangetin OpenHermes Mixtral 8x7B AWQ Benchmarks

LLME Score: 0.15448
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orangetin OpenHermes Mixtral 8x7B AWQ (TheBloke/orangetin-OpenHermes-Mixtral-8x7B-AWQ)

Orangetin OpenHermes Mixtral 8x7B AWQ Parameters and Internals

Model Type 
mixtral
Use Cases 
Areas:
Research, Commercial applications
Applications:
Chatbots, Virtual assistants
Primary Use Cases:
AI Assistance, Customer support
Additional Notes 
This model supports various quantization methods for efficient inference.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
teknium OpenHermes dataset
Methodology:
Fine-tuning
Context Length:
8192
Model Architecture:
Mixtral Fine-tune
Input Output 
Input Format:
[INST] <> {system_message} <> {prompt} [/INST]
Accepted Modalities:
text
Output Format:
Textual response
Performance Tips:
Use newer NVIDIA GPUs to ensure performance.
LLM NameOrangetin OpenHermes Mixtral 8x7B AWQ
Repository 🤗https://huggingface.co/TheBloke/orangetin-OpenHermes-Mixtral-8x7B-AWQ 
Model NameOrangetin OpenHermes Mixtral 8X7B
Model CreatorOrangeTin
Base Model(s)  OpenHermes Mixtral 8x7B   orangetin/OpenHermes-Mixtral-8x7B
Model Size6.5b
Required VRAM24.7 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
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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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/orangetin-OpenHermes-Mixtral-8x7B-AWQ.

Rank the Orangetin OpenHermes Mixtral 8x7B AWQ 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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Release v20241227
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