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SynthIA 7B V1.5 by migtissera

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  Autotrain compatible   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

SynthIA 7B V1.5 Benchmarks

ARC: 62.71-34.9%
HellaSwag: 83.37-12.5%
MMLU: 63.48-26.6%
TruthfulQA: 51.32-13%
WinoGrande: 79.24-9.4%
GSM8K: 17.44-81%
nn.n% — How the model compares to the GPT-4.

SynthIA 7B V1.5 Parameters and Internals

LLM NameSynthIA 7B V1.5
RepositoryOpen on 🤗 
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainermigtissera
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
SynthIA 7B V1.5 (migtissera/SynthIA-7B-v1.5)

Quantized Models of the SynthIA 7B V1.5

Model
Likes
Downloads
VRAM
SynthIA 7B V1.5 GGUF63063 GB
SynthIA 7B V1.5 AWQ0104 GB
SynthIA 7B V1.5 GPTQ094 GB

Best Alternatives to SynthIA 7B V1.5

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
MegaBeam Mistral 7B 300K0.3282K / 14.4 GB205715
Hebrew Mistral 7B 200K0.3256K / 30 GB209115
Astral 256K 7B V20.2250K / 14.4 GB2390
Astral 256K 7B0.2250K / 14.4 GB2330
Buddhi 128K Chat 7B0.3128K / 14.4 GB61214
LuminRP 7B 128K V0.20.3128K / 14.4 GB2610
...1 Summarize 64K LoRANET Merged0.2128K / 14.4 GB2320
... Summarize 64K QLoRANET Merged0.2128K / 4.1 GB80
LuminRP 7B 128K V0.50.2128K / 14.5 GB91
LuminRP 7B 128K V0.40.2128K / 14.4 GB121
Note: green Score (e.g. "73.2") means that the model is better than migtissera/SynthIA-7B-v1.5.

Rank the SynthIA 7B V1.5 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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