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QuartetAnemoi 70B T0.0001 AWQ by tachyphylaxis

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QuartetAnemoi 70B T0.0001 AWQ is an open-source language model by tachyphylaxis. Features: 70b LLM, VRAM: 36.7GB, Context: 31K, Quantized, HF Score: 76.9, LLM Explorer Score: 0.12, Arc: 73.4, HellaSwag: 88.9, MMLU: 75.4, TruthfulQA: 69.5, WinoGrande: 85.3, GSM8K: 68.6.

  4-bit   Awq   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tachyphylaxis/QuartetAnemoi-70B-t0.0001-AWQ 

QuartetAnemoi 70B T0.0001 AWQ Benchmarks

ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 88.9 vs 95.3 (gpt4)-6.7%
MMLU: 75.42 vs 88.3 (so35)-14.6%
TruthfulQA: 69.53 vs 59 (gpt4)17.8%
WinoGrande: 85.32 vs 87.5 (gpt4)-2.5%
GSM8K: 68.61 vs 96.4 (so35)-28.8%
LLME Score: 0.12406
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QuartetAnemoi 70B T0.0001 AWQ (tachyphylaxis/QuartetAnemoi-70B-t0.0001-AWQ)
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QuartetAnemoi 70B T0.0001 AWQ Parameters and Internals

LLM NameQuartetAnemoi 70B T0.0001 AWQ
Repository 🤗https://huggingface.co/tachyphylaxis/QuartetAnemoi-70B-t0.0001-AWQ 
Base Model(s)  alchemonaut/QuartetAnemoi-70B-t0.0001   alchemonaut/QuartetAnemoi-70B-t0.0001
Model Size70b
Required VRAM36.7 GB
Updated2026-04-04
Maintainertachyphylaxis
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
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than tachyphylaxis/QuartetAnemoi-70B-t0.0001-AWQ.

Rank the QuartetAnemoi 70B T0.0001 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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