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Sphinx2.0 by Daemontatox

 »  All LLMs  »  Daemontatox  »  Sphinx2.0   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Chain-of-thought   Conversational Dataset:daemontatox/alpaca rea... Dataset:daemontatox/longcot-re...   En   Endpoints compatible   Instruct   Long-cot-reasoning   Mamba2   Model-index   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Daemontatox/Sphinx2.0 

Sphinx2.0 Benchmarks

MMLU Pro: 46.49
GPQA: 5.82
MUSR: 13.05
BBH: 49.4
IFEval: 71.23 vs 88 (so35)-19.1%
MATH Lvl 5: 2.72
LLME Score: 0.33597
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sphinx2.0 (Daemontatox/Sphinx2.0)

Sphinx2.0 Parameters and Internals

LLM NameSphinx2.0
Repository 🤗https://huggingface.co/Daemontatox/Sphinx2.0 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2025-02-05
MaintainerDaemontatox
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Sphinx2.0

Best Alternatives
Context / RAM
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Likes
...B Instruct 1M Unsloth Bnb 4bit986K / 14.3 GB2342
Qwen2.5 14B Instruct 1M 8bit986K / 15.7 GB2392
Qwen Carpmuscle V0.4.132K / 29.7 GB110
...wen2.5 Coder 14B Instruct 4bit32K / 8.3 GB3862433
CogitoZ1432K / 29.7 GB601
...n2.5 Math 14B Instruct Preview32K / 29.7 GB2321
Qwen2.5 14B Instruct 4bit32K / 8.3 GB7108217
...wen2.5 Math 14B Instruct Alpha32K / 29.7 GB782
Qwen Carpmuscle V0.432K / 29.7 GB301
Reasoning 1 1K Demo32K / 29.7 GB151
Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/Sphinx2.0.

Rank the Sphinx2.0 Capabilities

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

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Release v20241227
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