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Pallas 0.5 LASER 0.6 by Mihaiii

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Pallas 0.5 LASER 0.6 is an open-source language model by Mihaiii. Features: 34.4b LLM, VRAM: 68.9GB, Context: 195K, License: other, LLM Explorer Score: 0.12, Arc: 62.5, HellaSwag: 81.6, MMLU: 74.3, GSM8K: 48.6.

Base model:finetune:mihaiii/pa... Base model:mihaiii/pallas-0.5-...   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Mihaiii/Pallas-0.5-LASER-0.6 

Pallas 0.5 LASER 0.6 Benchmarks

ARC: 62.46 vs 96.7 (so35)-35.4%
HellaSwag: 81.6 vs 95.3 (gpt4)-14.4%
MMLU: 74.25 vs 88.3 (so35)-15.9%
GSM8K: 48.6 vs 96.4 (so35)-49.6%
LLME Score: 0.12267
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 LASER 0.6 (Mihaiii/Pallas-0.5-LASER-0.6)
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Pallas 0.5 LASER 0.6 Parameters and Internals

Additional Notes 
This model includes a LASER intervention as an experiment, and it has been tested to be less effective compared to Pallas-0.5 according to the author's results.
Input Output 
Input Format:
SYSTEM: USER: ASSISTANT:
LLM NamePallas 0.5 LASER 0.6
Repository 🤗https://huggingface.co/Mihaiii/Pallas-0.5-LASER-0.6 
Base Model(s)  Mihaiii/Pallas-0.5-LASER-0.5   Mihaiii/Pallas-0.5-LASER-0.5
Model Size34.4b
Required VRAM68.9 GB
Updated2026-05-22
MaintainerMihaiii
Model Typellama
Model Files  10.0 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   9.7 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16

Quantized Models of the Pallas 0.5 LASER 0.6

Model
Likes
Downloads
VRAM
Pallas 0.5 LASER 0.6 GGUF316314 GB
Pallas 0.5 LASER 0.6 GPTQ1918 GB
Pallas 0.5 LASER 0.6 AWQ1619 GB

Best Alternatives to Pallas 0.5 LASER 0.6

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Pallas 0.5 LASER 0.5195K / 68.9 GB2130
Pallas 0.5 LASER 0.4195K / 68.9 GB2171
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Pallas 0.5 LASER Exp2 0.1195K / 68.9 GB50
Pallas 0.5 LASER 0.3195K / 68.9 GB1060
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AnFeng V3.1 Avocet128K / 69.2 GB17070
UNA 34Beagles 32K Bf16 V132K / 69.2 GB86910
UNA 34BeagleSimpleMath 32K V132K / 69.2 GB1256
PiVoT SUS RP8K / 69.2 GB2005
Note: green Score (e.g. "73.2") means that the model is better than Mihaiii/Pallas-0.5-LASER-0.6.

Rank the Pallas 0.5 LASER 0.6 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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