MixtralxWizardLM2 8x22B SLERP V0.2 by jsfs11

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MixtralxWizardLM2 8x22B SLERP V0.2 is an open-source language model by jsfs11. Features: 140.6b LLM, VRAM: 280.8GB, Context: 64K, License: apache-2.0, MoE, Instruction-Based, Merged, LLM Explorer Score: 0.12.

  Merged Model Base model:alpindale/wizardlm-... Base model:mistralai/mixtral-8...   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

MixtralxWizardLM2 8x22B SLERP V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MixtralxWizardLM2 8x22B SLERP V0.2 (jsfs11/MixtralxWizardLM2-8x22B-SLERP-v0.2)

MixtralxWizardLM2 8x22B SLERP V0.2 Parameters and Internals

Additional Notes 
This is a merge of two large MoE models using SLERP merge method.
LLM NameMixtralxWizardLM2 8x22B SLERP V0.2
Repository 🤗https://huggingface.co/jsfs11/MixtralxWizardLM2-8x22B-SLERP-v0.2 
Base Model(s)  WizardLM 2 8x22B   mistralai/Mixtral-8x22B-Instruct-v0.1   alpindale/WizardLM-2-8x22B   mistralai/Mixtral-8x22B-Instruct-v0.1
Merged ModelYes
Model Size140.6b
Required VRAM280.8 GB
Updated2026-05-19
Maintainerjsfs11
Model Typemixtral
Instruction-BasedYes
Model Files  9.8 GB: 1-of-29   9.8 GB: 2-of-29   9.8 GB: 3-of-29   9.8 GB: 4-of-29   9.8 GB: 5-of-29   9.8 GB: 6-of-29   10.0 GB: 7-of-29   9.8 GB: 8-of-29   9.8 GB: 9-of-29   9.8 GB: 10-of-29   9.9 GB: 11-of-29   9.9 GB: 12-of-29   9.8 GB: 13-of-29   9.8 GB: 14-of-29   9.8 GB: 15-of-29   9.8 GB: 16-of-29   10.0 GB: 17-of-29   9.8 GB: 18-of-29   9.8 GB: 19-of-29   9.8 GB: 20-of-29   9.8 GB: 21-of-29   9.8 GB: 22-of-29   9.8 GB: 23-of-29   10.0 GB: 24-of-29   9.8 GB: 25-of-29   9.9 GB: 26-of-29   9.9 GB: 27-of-29   9.8 GB: 28-of-29   5.4 GB: 29-of-29
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jsfs11/MixtralxWizardLM2-8x22B-SLERP-v0.2.

Rank the MixtralxWizardLM2 8x22B SLERP V0.2 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  
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Release v20260328a