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Finance LLM AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Finance LLM AWQ   URL Share it on

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  Arxiv:2309.09530   4-bit   Autotrain compatible   Awq Base model:adaptllm/finance-ll... Base model:quantized:adaptllm/...   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Finance   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/finance-LLM-AWQ 

Finance LLM AWQ Benchmarks

LLME Score: 0.16286
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finance LLM AWQ (TheBloke/finance-LLM-AWQ)

Finance LLM AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
AWQ is an efficient low-bit weight quantization method supporting 4-bit quantization, offering faster Transformers-based inference with comparable or better quality.
Supported Languages 
en (full-proficiency)
Training Details 
Data Sources:
Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k
Methodology:
continued pre-training on domain-specific corpora and transforming large-scale pre-training corpora into reading comprehension texts
Context Length:
2048
Hardware Used:
Massed Compute
Input Output 
Input Format:
[INST] <> {system_message} <> {prompt} [/INST]
Accepted Modalities:
text
LLM NameFinance LLM AWQ
Repository 🤗https://huggingface.co/TheBloke/finance-LLM-AWQ 
Model NameFinance LLM
Model CreatorAdaptLLM
Base Model(s)  Finance LLM   AdaptLLM/finance-LLM
Model Size1.1b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/finance-LLM-AWQ.

Rank the Finance LLM AWQ 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 v20241217
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