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Japanese Starling ChatV 7B by TFMC

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  Autotrain compatible   Endpoints compatible   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Japanese Starling ChatV 7B Benchmarks

LLME Score: 0.21678
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Japanese Starling ChatV 7B Parameters and Internals

LLM NameJapanese Starling ChatV 7B
Repository 🤗https://huggingface.co/TFMC/Japanese-Starling-ChatV-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerTFMC
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Japanese Starling ChatV 7B (TFMC/Japanese-Starling-ChatV-7B)

Quantized Models of the Japanese Starling ChatV 7B

Model
Likes
Downloads
VRAM
...apanese Starling ChatV 7B EXL2055 GB

Best Alternatives to Japanese Starling ChatV 7B

Best Alternatives
Context / RAM
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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB20696
MegaBeam Mistral 7B 512K512K / 14.4 GB252641
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB94915
Hebrew Mistral 7B 200K256K / 30 GB267715
Astral 256K 7B V2250K / 14.4 GB80
Astral 256K 7B250K / 14.4 GB80
Boptruth Agatha 7B128K / 14.4 GB6080
Buddhi 128K Chat 7B128K / 14.4 GB130615
Test001128K / 14.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than TFMC/Japanese-Starling-ChatV-7B.

Rank the Japanese Starling ChatV 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 v2024072803
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