Pallas 0.5 Frankenmerge AWQ by TheBloke

 ยป  All LLMs  ยป  TheBloke  ยป  Pallas 0.5 Frankenmerge AWQ   URL Share it on

  4-bit   Autotrain compatible   Awq Base model:mihaiii/pallas-0.5-... Base model:quantized:mihaiii/p...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Pallas 0.5 Frankenmerge AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pallas 0.5 Frankenmerge AWQ (TheBloke/Pallas-0.5-frankenmerge-AWQ)

Pallas 0.5 Frankenmerge AWQ Parameters and Internals

Model Type 
yi
Additional Notes 
The model is optimized for reasoning and text comprehension, and not recommended for story-telling or generic tasks. It works well with long system prompts and was created using mergekit, using slices and a special merge configuration.
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
LLM NamePallas 0.5 Frankenmerge AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-AWQ 
Model NamePallas 0.5 Frankenmerge
Model CreatorMihai
Base Model(s)  Mihaiii/Pallas-0.5-frankenmerge   Mihaiii/Pallas-0.5-frankenmerge
Model Size5.6b
Required VRAM20.1 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-3   9.2 GB: 2-of-3   0.9 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typefloat16

Best Alternatives to Pallas 0.5 Frankenmerge AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Phi 3 Large 5.6B4K / 11.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Pallas-0.5-frankenmerge-AWQ.

Rank the Pallas 0.5 Frankenmerge AWQ Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 43470 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227