V1olet Marcoroni Go Bruins Merge 7B AWQ by TheBloke

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  Merged Model   4-bit   Autotrain compatible   Awq Base model:quantized:v1olet/v1... Base model:v1olet/v1olet marco...   En   Mistral   Quantized   Region:us   Safetensors

V1olet Marcoroni Go Bruins Merge 7B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

V1olet Marcoroni Go Bruins Merge 7B AWQ Parameters and Internals

LLM NameV1olet Marcoroni Go Bruins Merge 7B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/v1olet_marcoroni-go-bruins-merge-7B-AWQ 
Model NameV1Olet Marcoroni Go Bruins Merge 7B
Model CreatorTrong-Hieu Nguyen-Mau
Base Model(s)  ...t Marcoroni Go Bruins Merge 7B   v1olet/v1olet_marcoroni-go-bruins-merge-7B
Merged ModelYes
Model Size7b
Required VRAM4.2 GB
Updated2024-10-15
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
V1olet Marcoroni Go Bruins Merge 7B AWQ (TheBloke/v1olet_marcoroni-go-bruins-merge-7B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/v1olet_marcoroni-go-bruins-merge-7B-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803