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

AusLegalQA Mixtral 8x7B Instruct V0.1 by adlumal

 »  All LLMs  »  adlumal  »  AusLegalQA Mixtral 8x7B Instruct V0.1   URL Share it on

  8   
  Australia   Autotrain compatible   Conversational Dataset:umarbutler/open-austra...   Endpoints compatible   Instruct   Law   Legal   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/adlumal/AusLegalQA-Mixtral-8x7B-Instruct-v0.1 

AusLegalQA Mixtral 8x7B Instruct V0.1 Benchmarks

LLME Score: 0.12727
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AusLegalQA Mixtral 8x7B Instruct V0.1 (adlumal/AusLegalQA-Mixtral-8x7B-Instruct-v0.1)
🌟 Advertise your project 🚀

AusLegalQA Mixtral 8x7B Instruct V0.1 Parameters and Internals

Model Type 
fine-tuned
Use Cases 
Applications:
LLamaIndex/LangChain environment
Primary Use Cases:
Summarisation and short-form answers
Limitations:
No moderation mechanisms
Additional Notes 
The model is fine-tuned on the Open Australian Legal QA dataset.
Training Details 
Data Sources:
umarbutler/open-australian-legal-qa
Methodology:
PEFT techniques, qLoRA merged into base model
Context Length:
1024
LLM NameAusLegalQA Mixtral 8x7B Instruct V0.1
Repository 🤗https://huggingface.co/adlumal/AusLegalQA-Mixtral-8x7B-Instruct-v0.1 
Model Size46.7b
Required VRAM43.3 GB
Updated2025-09-23
Maintaineradlumal
Model Typemixtral
Instruction-BasedYes
Model Files  0.9 GB: 1-of-98   0.9 GB: 2-of-98   0.9 GB: 3-of-98   0.9 GB: 4-of-98   0.9 GB: 5-of-98   0.9 GB: 6-of-98   0.9 GB: 7-of-98   0.9 GB: 8-of-98   0.9 GB: 9-of-98   0.9 GB: 10-of-98   0.9 GB: 11-of-98   0.9 GB: 12-of-98   0.9 GB: 13-of-98   0.9 GB: 14-of-98   0.9 GB: 15-of-98   0.9 GB: 16-of-98   0.9 GB: 17-of-98   0.9 GB: 18-of-98   1.0 GB: 19-of-98   1.0 GB: 20-of-98   0.9 GB: 21-of-98   1.0 GB: 22-of-98   1.0 GB: 23-of-98   0.9 GB: 24-of-98   1.0 GB: 25-of-98   1.0 GB: 26-of-98   0.9 GB: 27-of-98   1.0 GB: 28-of-98   1.0 GB: 29-of-98   0.9 GB: 30-of-98   1.0 GB: 31-of-98   1.0 GB: 32-of-98   0.9 GB: 33-of-98   1.0 GB: 34-of-98   1.0 GB: 35-of-98   0.9 GB: 36-of-98   1.0 GB: 37-of-98   1.0 GB: 38-of-98   0.9 GB: 39-of-98   1.0 GB: 40-of-98   1.0 GB: 41-of-98   0.9 GB: 42-of-98   1.0 GB: 43-of-98   1.0 GB: 44-of-98   0.9 GB: 45-of-98   1.0 GB: 46-of-98
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to AusLegalQA Mixtral 8x7B Instruct V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB2956784562
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB15290
...xtral 8x7B Yes Instruct LimaRP32K / 93.5 GB80
...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB294022
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB3740
Merge Mixtral Prometheus 8x7B32K / 91.9 GB72
Sage Ft Mixtral 8x7b32K / 90 GB824
Notux 8x7b V132K / 93.6 GB10163
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB41251235
BagelMIsteryTour V2 8x7B32K / 93.5 GB416
Note: green Score (e.g. "73.2") means that the model is better than adlumal/AusLegalQA-Mixtral-8x7B-Instruct-v0.1.

Rank the AusLegalQA Mixtral 8x7B Instruct V0.1 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? 51534 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 v20241124
  Support LLM Explorer