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

Opus V1.2 70B AWQ by dreamgen

 »  All LLMs  »  dreamgen  »  Opus V1.2 70B AWQ   URL Share it on

  23   
  4-bit   Autotrain compatible   Awq   Axolotl   Conversational   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/dreamgen/opus-v1.2-70b-awq 

Opus V1.2 70B AWQ Benchmarks

LLME Score: 0.18044
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opus V1.2 70B AWQ (dreamgen/opus-v1.2-70b-awq)

Opus V1.2 70B AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is fine-tuned for steerable story-writing and role-playing.
LLM NameOpus V1.2 70B AWQ
Repository 🤗https://huggingface.co/dreamgen/opus-v1.2-70b-awq 
Base Model(s)  dreamgen/opus-v1.2-70b   dreamgen/opus-v1.2-70b
Model Size70b
Required VRAM36.7 GB
Updated2024-12-22
Maintainerdreamgen
Model Typellama
Model Files  5.0 GB: 1-of-8   5.0 GB: 2-of-8   4.9 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   4.9 GB: 6-of-8   4.9 GB: 7-of-8   2.2 GB: 8-of-8
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

Best Alternatives to Opus V1.2 70B AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...0B Instruct Gradient 1048K AWQ1024K / 39.9 GB121
...70B Instruct Gradient 262K AWQ256K / 39.9 GB110
Llama 3.3 70B Instruct AWQ128K / 39.9 GB2044518
...lama 3.3 70B Instruct AWQ INT4128K / 39.9 GB751010
... SauerkrautLM 70B Instruct AWQ128K / 39.9 GB16024
MultiVerse 70B AWQ32K / 41.3 GB932
QuartetAnemoi 70B T0.0001 AWQ31K / 36.7 GB131
Senku 70B AWQ 4bit GEMM31K / 36.7 GB131
Kiqu 70B AWQ31K / 36.7 GB131
CodeLlama 70B Hf AWQ16K / 36.6 GB184
Note: green Score (e.g. "73.2") means that the model is better than dreamgen/opus-v1.2-70b-awq.

Rank the Opus V1.2 70B AWQ 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? 40123 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 v20241217
  Support LLM Explorer