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M7 7B by liminerity

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  Merged Model   Autotrain compatible   Endpoints compatible   Memfdmsfndsfjkasjkl   Mistral   Region:us   Safetensors   Sharded   Tensorflow

M7 7B Benchmarks

ARC: 72.87-24.3%
HellaSwag: 89.15-6.5%
MMLU: 64.5-25.4%
TruthfulQA: 77.9332.1%
WinoGrande: 84.77-3.1%
GSM8K: 71.72-22%
nn.n% — How the model compares to the GPT-4.

M7 7B Parameters and Internals

LLM NameM7 7B
RepositoryOpen on 🤗 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerliminerity
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
M7 7B (liminerity/M7-7b)

Best Alternatives to M7 7B

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 liminerity/M7-7b.

Rank the M7 7B 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 v2024072501
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