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T.E 8.1 by Cran-May

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T.E 8.1 is an open-source language model by Cran-May. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: cc-by-nc-sa-4.0, Instruction-Based, LLM Explorer Score: 0.26.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   En   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Cran-May/T.E-8.1 

T.E 8.1 Benchmarks

MMLU Pro: 38.14
GPQA: 8.39
MUSR: 15.32
BBH: 37.02
IFEval: 70.77 vs 88 (so35)-19.6%
MATH Lvl 5: 44.56
LLME Score: 0.25992
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T.E 8.1 (Cran-May/T.E-8.1)
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T.E 8.1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
roleplay
Additional Notes 
GGUF quants are available at: [Lewdiculous and Mradermacher repositories on Hugging Face](https://huggingface.co/Lewdiculous/T.E-8.1-GGUF-IQ-Imatrix-Request) and [Mradermacher's repository on Hugging Face](https://huggingface.co/mradermacher/T.E-8.1-i1-GGUF).
Supported Languages 
zh (Supported), en (Supported)
LLM NameT.E 8.1
Repository 🤗https://huggingface.co/Cran-May/T.E-8.1 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-02-10
MaintainerCran-May
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languageszh en
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.45.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to T.E 8.1

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB101838363
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB42
Qwen2.5 7B RRP 1M986K / 15.2 GB46
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB37
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB184
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than Cran-May/T.E-8.1.

Rank the T.E 8.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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