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Mixtral Instruct ITR 8x7B by Envoid

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   License:cc-by-nc-4.0   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mixtral Instruct ITR 8x7B 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  
Mixtral Instruct ITR 8x7B (Envoid/Mixtral-Instruct-ITR-8x7B)

Best Alternatives to Mixtral Instruct ITR 8x7B

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.177.7532K / 93.6 GB5291863945
...lQA Mixtral 8x7B Instruct V0.1—32K / 43.3 GB52
Mixtral 8x7B Instruct V0.1 FP8—32K / 47.1 GB2371
...tral 8x7B Instruct V0.1 FP8 V3—32K / 47.1 GB360
...tral 8x7B Instruct V0.1 FP8 V2—32K / 47.1 GB110
...tral 8x7B Instruct V0.1 FP8 V1—32K / 47.1 GB60
Maid Yuzu V8 Alter—32K / 91.7 GB12
Merge Mixtral Prometheus 8x7B—32K / 91.9 GB641
...ELT Mixtral 8x7B Instruct V0.1—32K / 92 GB23
Yk 8x7b Model V1—32K / 92 GB3090
Note: green Score (e.g. "73.2") means that the model is better than Envoid/Mixtral-Instruct-ITR-8x7B.

Mixtral Instruct ITR 8x7B Parameters and Internals

LLM NameMixtral Instruct ITR 8x7B
RepositoryOpen on 🤗 
Model Size46.7b
Required VRAM91.4 GB
Updated2024-07-07
MaintainerEnvoid
Model Typemixtral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-48   2.0 GB: 2-of-48   2.0 GB: 3-of-48   2.0 GB: 4-of-48   2.0 GB: 5-of-48   1.9 GB: 6-of-48   2.0 GB: 7-of-48   1.9 GB: 8-of-48   2.0 GB: 9-of-48   2.0 GB: 10-of-48   2.0 GB: 11-of-48   2.0 GB: 12-of-48   1.9 GB: 13-of-48   2.0 GB: 14-of-48   2.0 GB: 15-of-48   2.0 GB: 16-of-48   2.0 GB: 17-of-48   2.0 GB: 18-of-48   2.0 GB: 19-of-48   2.0 GB: 20-of-48   2.0 GB: 21-of-48   2.0 GB: 22-of-48   1.9 GB: 23-of-48   2.0 GB: 24-of-48   2.0 GB: 25-of-48   2.0 GB: 26-of-48   2.0 GB: 27-of-48   2.0 GB: 28-of-48   2.0 GB: 29-of-48   2.0 GB: 30-of-48   2.0 GB: 31-of-48   2.0 GB: 32-of-48   1.9 GB: 33-of-48   2.0 GB: 34-of-48   2.0 GB: 35-of-48   2.0 GB: 36-of-48   2.0 GB: 37-of-48   2.0 GB: 38-of-48   2.0 GB: 39-of-48   2.0 GB: 40-of-48   2.0 GB: 41-of-48   2.0 GB: 42-of-48   2.0 GB: 43-of-48   2.0 GB: 44-of-48   2.0 GB: 45-of-48   2.0 GB: 46-of-48
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Release v2024042801
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