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Acolyte 22B by rAIfle

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  Merged Model   Autotrain compatible   Base model:raifle/acolyte-lora Base model:unsloth/mistral-sma...   Conversational   Endpoints compatible   Instruct   Lora   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rAIfle/Acolyte-22B 

Acolyte 22B Benchmarks

LLME Score: 0.18021
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Acolyte 22B (rAIfle/Acolyte-22B)
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Acolyte 22B Parameters and Internals

Additional Notes 
Decent enough for its size.
Training Details 
Data Sources:
random datasets on top of Mistral-Small-Instruct-2409
Methodology:
LoRA and SLERP at 0.5
LLM NameAcolyte 22B
Repository 🤗https://huggingface.co/rAIfle/Acolyte-22B 
Base Model(s)  Mistral Small Instruct 2409   Mistral Small Instruct 2409   rAIfle/Acolyte-LORA   unsloth/Mistral-Small-Instruct-2409   unsloth/Mistral-Small-Instruct-2409   rAIfle/Acolyte-LORA
Merged ModelYes
Model Size22b
Required VRAM44.7 GB
Updated2025-09-23
MaintainerrAIfle
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-10   4.9 GB: 2-of-10   5.0 GB: 3-of-10   5.0 GB: 4-of-10   4.9 GB: 5-of-10   5.0 GB: 6-of-10   5.0 GB: 7-of-10   4.9 GB: 8-of-10   5.0 GB: 9-of-10   0.1 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_748]
Vocabulary Size32768
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than rAIfle/Acolyte-22B.

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Instruction Following and Task Automation  
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Release v20241124
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