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SorcererLM 22B by InferenceIllusionist

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  Conversational   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/InferenceIllusionist/SorcererLM-22B 

SorcererLM 22B Benchmarks

LLME Score: 0.23136
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SorcererLM 22B (InferenceIllusionist/SorcererLM-22B)

SorcererLM 22B Parameters and Internals

Model Type 
conversational
Additional Notes 
The model is a 'lite' counterpart to the SorcererLM-8x22b tune, providing bespoke conversational experience while being relatively small and requiring reduced hardware.
Training Details 
Methodology:
LORA tune on top of Mistral-Small-Instruct-2409; Trained on cleaned and deduped c2 logs.
Training Time:
27 hours
Hardware Used:
RTX 4080 SUPER
LLM NameSorcererLM 22B
Repository 🤗https://huggingface.co/InferenceIllusionist/SorcererLM-22B 
Base Model(s)  unsloth/mistral-small-instruct-2409   unsloth/mistral-small-instruct-2409
Model Size22b
Required VRAM44.7 GB
Updated2024-12-21
MaintainerInferenceIllusionist
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token[control_748]
Vocabulary Size32768
Torch Data Typebfloat16

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

Rank the SorcererLM 22B 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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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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