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Mixtral 8x7B Instruct V0.1 Hf Attn 4bit MoE 2bit HQQ by mobiuslabsgmbh

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  4bit   Autotrain compatible   Conversational   Instruct   Mixtral   Moe   Quantized   Region:us

Mixtral 8x7B Instruct V0.1 Hf Attn 4bit MoE 2bit HQQ Parameters and Internals

LLM NameMixtral 8x7B Instruct V0.1 Hf Attn 4bit MoE 2bit HQQ
RepositoryOpen on 🤗 
Required VRAM18.2 GB
Updated2024-07-27
Maintainermobiuslabsgmbh
Model Typemixtral
Instruction-BasedYes
Model Files  18.2 GB
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Mixtral 8x7B Instruct V0.1 Hf Attn 4bit MoE 2bit HQQ (mobiuslabsgmbh/Mixtral-8x7B-Instruct-v0.1-hf-attn-4bit-moe-2bit-HQQ)

Best Alternatives to Mixtral 8x7B Instruct V0.1 Hf Attn 4bit MoE 2bit HQQ

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...M 2 8x22B Beige 4.0bpw H6 EXL20.264K / 70.8 GB160
...B Instruct V0.1 8.0bpw H8 EXL20.264K / 120.2 GB141
...M 2 8x22B Beige 2.4bpw H6 EXL20.264K / 42.7 GB100
...M 2 8x22B Beige 5.0bpw H6 EXL20.264K / 88.5 GB100
...M 2 8x22B Beige 3.0bpw H6 EXL20.264K / 53.2 GB60
...8x22b Instruct Oh EXL2 2.25bpw0.264K / 40.1 GB91
...eryTour V2 8x7B 4.5bpw H6 EXL20.232K / 26.5 GB282
...it MoE 2bitgs8 Metaoffload HQQ0.232K / 24.1 GB2820
... 4bit MoE 3bit Metaoffload HQQ0.232K / 22.4 GB813
... 4bit MoE 2bit Metaoffload HQQ0.232K / 18.3 GB1815
Note: green Score (e.g. "73.2") means that the model is better than mobiuslabsgmbh/Mixtral-8x7B-Instruct-v0.1-hf-attn-4bit-moe-2bit-HQQ.

Rank the Mixtral 8x7B Instruct V0.1 Hf Attn 4bit MoE 2bit HQQ 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  
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Multi-Language Support and Translation  

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Release v2024072501
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