LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Mixtral Megamerge Dare 8x7b V1 by martyn

 »  All LLMs  »  martyn  »  Mixtral Megamerge Dare 8x7b V1   URL Share it on

  2075   
  Autotrain compatible   Conversational   Dare   En   Merge   Mixtral   Moe   Pytorch   Region:us   Sharded   Super mario merge   Tensorflow
Model Card on HF 🤗: https://huggingface.co/martyn/mixtral-megamerge-dare-8x7b-v1 

Mixtral Megamerge Dare 8x7b V1 Benchmarks

LLME Score: 0.17605
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral Megamerge Dare 8x7b V1 (martyn/mixtral-megamerge-dare-8x7b-v1)

Mixtral Megamerge Dare 8x7b V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model seems to generalize instruct styles but the MoE gates are not modified.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
cognitivecomputations/dolphin-2.6-mixtral-8x7b, mistralai/Mixtral-8x7B-v0.1, mistralai/Mixtral-8x7B-Instruct-v0.1
Methodology:
Merging using safetensors-merge-supermario
LLM NameMixtral Megamerge Dare 8x7b V1
Repository 🤗https://huggingface.co/martyn/mixtral-megamerge-dare-8x7b-v1 
Required VRAM93.6 GB
Updated2025-02-23
Maintainermartyn
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

Best Alternatives to Mixtral Megamerge Dare 8x7b V1

Best Alternatives
Context / RAM
Downloads
Likes
Llama 3 IMPACTS 2x8B 64K MLX64K / 27.4 GB174
BiMediX Bi32K / 93.6 GB117795
Dolphin 2.7 Mixtral 8x7b32K / 93.6 GB4025169
Dolphin 2.6 Mixtral 8x7b32K / 93.6 GB4068206
...eqlen 4096 Bs 4 Optimum 0 0 2332K /  GB50
...eqlen 4096 Bs 4 Optimum 0 0 2332K /  GB81
Empower Functions Medium32K / 93.6 GB141
Synatra Mixtral 8x7B32K / 93.6 GB182914
Mixtral 8x7B Instruct V0.132K /  GB70
...ral 8x7b Instruct V0.1 Int4 Ov32K / 0 GB564
Note: green Score (e.g. "73.2") means that the model is better than martyn/mixtral-megamerge-dare-8x7b-v1.

Rank the Mixtral Megamerge Dare 8x7b V1 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  

What open-source LLMs or SLMs are you in search of? 43508 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer