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Finance Chat by AdaptLLM

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  Arxiv:2309.09530   Arxiv:2406.14491   Autotrain compatible   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Endpoints compatible   Finance   Llama   Model-index   Pytorch   Region:us   Safetensors

Finance Chat Benchmarks

ARC: 53.75 vs 96.7 (so35)-44.4%
HellaSwag: 76.6 vs 95.3 (gpt4)-19.6%
MMLU: 50.16 vs 88.3 (so35)-43.2%
TruthfulQA: 44.54 vs 59 (gpt4)-24.5%
WinoGrande: 75.69 vs 87.5 (gpt4)-13.5%
GSM8K: 18.8 vs 96.4 (so35)-80.5%
LLME Score: 0.22483
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Finance Chat Parameters and Internals

LLM NameFinance Chat
Repository 🤗https://huggingface.co/AdaptLLM/finance-chat 
Model Size6.7b
Required VRAM27 GB
Updated2024-10-30
MaintainerAdaptLLM
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Padding Token<pad>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16
Finance Chat (AdaptLLM/finance-chat)

Quantized Models of the Finance Chat

Model
Likes
Downloads
VRAM
Finance Chat GGUF116282 GB
Finance Chat GPTQ3243 GB
Finance Chat AWQ3183 GB

Best Alternatives to Finance Chat

Best Alternatives
Context / RAM
Downloads
Likes
Gptnoise37128K /  GB700
Artigenz Coder DS 6.7B16K / 13.5 GB6316312
Speechless Coder Ds 6.7B16K / 13.5 GB12945
Magicoder S DS 6.7B16K / 27.1 GB3470200
CursorCore DS 6.7B16K / 13.5 GB270
OpenCodeInterpreter DS 6.7B16K / 13.5 GB9532134
Deepseek Coder 6.7B Base16K / 13.5 GB2317080
AutoCoder S 6.7B16K / 13.5 GB43445
Speechless Nl2sql Ds 6.7B16K / 13.5 GB12373
Code 290K 6.7B Instruct16K / 13.5 GB876
Note: green Score (e.g. "73.2") means that the model is better than AdaptLLM/finance-chat.

Rank the Finance Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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