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Tess 7B V1.4 by migtissera

 »  All LLMs  »  migtissera  »  Tess 7B V1.4   URL Share it on

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/migtissera/Tess-7B-v1.4 

Tess 7B V1.4 Benchmarks

ARC: 60.41 vs 96.7 (so35)-37.5%
HellaSwag: 82.87 vs 95.3 (gpt4)-13%
MMLU: 60.98 vs 88.3 (so35)-30.9%
TruthfulQA: 51.88 vs 59 (gpt4)-12.1%
WinoGrande: 74.82 vs 87.5 (gpt4)-14.5%
GSM8K: 42.15 vs 96.4 (so35)-56.3%
LLME Score: 0.19072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 7B V1.4 (migtissera/Tess-7B-v1.4)

Tess 7B V1.4 Parameters and Internals

Model Type 
general purpose, Large Language Model
Input Output 
Input Format:
SYSTEM: USER: ASSISTANT:
LLM NameTess 7B V1.4
Repository 🤗https://huggingface.co/migtissera/Tess-7B-v1.4 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-26
Maintainermigtissera
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Tess 7B V1.4

Model
Likes
Downloads
VRAM
Tess 7B V1.4 GGUF41563 GB
Tess 7B V1.4 GPTQ1254 GB
Tess 7B V1.4 AWQ1204 GB

Best Alternatives to Tess 7B V1.4

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25949
MegaBeam Mistral 7B 512K512K / 14.4 GB679146
SpydazWeb AI HumanAI RP512K / 14.4 GB311
SpydazWeb AI HumanAI 002512K / 14.4 GB201
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB325215
Hebrew Mistral 7B 200K256K / 30 GB304315
Astral 256K 7B V2250K / 14.4 GB180
Astral 256K 7B250K / 14.4 GB160
Boptruth Agatha 7B128K / 14.4 GB4750
Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-7B-v1.4.

Rank the Tess 7B V1.4 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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