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Pallas 0.5 LASER 0.6 by Mihaiii

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  Autotrain compatible 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%
TruthfulQA: 54.39 vs 59 (gpt4)-7.8%
WinoGrande: 78.45 vs 87.5 (gpt4)-10.3%
GSM8K: 48.6 vs 96.4 (so35)-49.6%
LLME Score: 0.17488
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)

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
Updated2025-01-15
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 GGUF35414 GB
Pallas 0.5 LASER 0.6 GPTQ11418 GB
Pallas 0.5 LASER 0.6 AWQ11319 GB

Best Alternatives to Pallas 0.5 LASER 0.6

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Pallas 0.5 LASER 0.5195K / 68.9 GB7430
Pallas 0.5 LASER 0.4195K / 68.9 GB7571
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Pallas 0.5 LASER 0.2195K / 68.9 GB7570
Pallas 0.5 LASER Exp2 0.1195K / 68.9 GB140
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AnFeng V3.1 Avocet128K / 69.2 GB52650
UNA 34Beagles 32K Bf16 V132K / 69.2 GB76510
UNA 34BeagleSimpleMath 32K V132K / 69.2 GB686
PiVoT SUS RP8K / 69.2 GB7105
Note: green Score (e.g. "73.2") means that the model is better than Mihaiii/Pallas-0.5-LASER-0.6.

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Release v20241227
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