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OpenHermes Mixtral 8x7B 6.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  OpenHermes Mixtral 8x7B 6.0bpw H6 EXL2   URL Share it on

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  Autotrain compatible Base model:mistralai/mixtral-8...   Conversational   Distillation   En   Endpoints compatible   Exl2   Finetuned   Gpt4   Instruct   License:apache-2.0   Llama   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow

OpenHermes Mixtral 8x7B 6.0bpw H6 EXL2 Benchmarks

HF Avg Score: 63.7  vs  86.1  (GPT-4) -26%
ARC: 61.8-35.8%
HellaSwag: 73.6-22.8%
MMLU: 62.6-27.6%
TruthfulQA: 625.1%
WinoGrande: 79.7-8.9%
GSM8K: 43.7-52.5%
OpenCompass Avg: 56.8  vs  73.3  (GPT-4) -22.5%
Exam: 71.4-7.5%
Language: 35.5-42.7%
Knowledge: 58.8-20%
Understanding: 66.7-4.7%
Reasoning: 54.7-26.5%
nn.n% — How the model compares to the GPT-4.

Rank the OpenHermes Mixtral 8x7B 6.0bpw H6 EXL2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  
OpenHermes Mixtral 8x7B 6.0bpw H6 EXL2 (LoneStriker/OpenHermes-Mixtral-8x7B-6.0bpw-h6-exl2)

Best Alternatives to OpenHermes Mixtral 8x7B 6.0bpw H6 EXL2

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...8x22b Instruct Oh EXL2 2.25bpw65.364K / 40.1 GB41
...es Mixtral 8x7B 2.4bpw H6 EXL263.732K / 14.3 GB12
...es Mixtral 8x7B 3.0bpw H6 EXL263.732K / 17.8 GB11
Notux 8x7b V1.3.5bpw EXL263.732K / 20.7 GB12
Notux 8x7b V1.3.5bpw H6 EXL263.732K / 20.7 GB11
...ixtral 8x7B Instruct V0.1 GGUF63.732K / 17.3 GB4995
...M 2 8x22B Beige 2.4bpw H6 EXL2—64K / 42.7 GB60
...M 2 8x22B Beige 3.0bpw H6 EXL2—64K / 53.2 GB150
...M 2 8x22B Beige 4.0bpw H6 EXL2—64K / 70.8 GB860
...M 2 8x22B Beige 5.0bpw H6 EXL2—64K / 88.5 GB100
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OpenHermes-Mixtral-8x7B-6.0bpw-h6-exl2.

OpenHermes Mixtral 8x7B 6.0bpw H6 EXL2 Parameters and Internals

LLM NameOpenHermes Mixtral 8x7B 6.0bpw H6 EXL2
RepositoryOpen on 🤗 
Base Model(s)  Mixtral 8x7B Instruct V0.1   mistralai/Mixtral-8x7B-Instruct-v0.1
Required VRAM35.3 GB
Updated2024-07-01
MaintainerLoneStriker
Model Typemixtral
Instruction-BasedYes
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.6 GB: 4-of-5   0.9 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801
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