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Mistroll 7B V2.2 by BarraHome

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  Autotrain compatible Base model:quantized:yam-peleg... Base model:yam-peleg/experimen...   Conversational   En   Endpoints compatible   Es   Gguf   Mistral   Q8   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Mistroll 7B V2.2 Benchmarks

ARC: 72.78 vs 96.7 (so35)-24.7%
HellaSwag: 89.16 vs 95.3 (gpt4)-6.4%
MMLU: 64.35 vs 88.3 (so35)-27.1%
TruthfulQA: 78.1 vs 59 (gpt4)32.4%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 71.19 vs 96.4 (so35)-26.2%
LLME Score: 0.22449
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistroll 7B V2.2 Parameters and Internals

LLM NameMistroll 7B V2.2
Repository 🤗https://huggingface.co/BarraHome/Mistroll-7B-v2.2 
Base Model(s)  Experiment26 7B   yam-peleg/Experiment26-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
MaintainerBarraHome
Model Typemistral
Model Files  7.7 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen es
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Mistroll 7B V2.2 (BarraHome/Mistroll-7B-v2.2)

Quantized Models of the Mistroll 7B V2.2

Model
Likes
Downloads
VRAM
...troll 7B V2.3 NoTsOsm4rt 16bit0614 GB
...stroll 7B V2.3 NoTsOsm4rt Gguf0195 GB

Best Alternatives to Mistroll 7B V2.2

Best Alternatives
Context / RAM
Downloads
Likes
MegaBeam Mistral 7B 300K Gguf282K / 5 GB613
Mistral 7B Instruct V0.2.gguf32K / 14.5 GB123
Mistral 7B Instruct V0.2 GGUF32K / 4.4 GB242
Mahou 1.2a Mistral 7B32K / 14.4 GB646
...andle Mistral 7B Instruct V0.232K / 14.4 GB460
BioMistralMerged32K / 14.4 GB37820
Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB19820
Tamil Mistral 7B Instruct V0.132K / 14.8 GB9112
...tral 7B V0.3 Chinese Chat 8bit32K / 7.7 GB8093
... Noromaid NSFW Mistral 7B GGUF32K / 4.1 GB610421
Note: green Score (e.g. "73.2") means that the model is better than BarraHome/Mistroll-7B-v2.2.

Rank the Mistroll 7B V2.2 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 v2024072803
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