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Finance Chat GGUF by TheBloke

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Finance Chat GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 2.8GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  Arxiv:2309.09530 Base model:adaptllm/finance-ch... Base model:quantized:adaptllm/...   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Finance   Gguf   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/finance-chat-GGUF 

Finance Chat GGUF Benchmarks

LLME Score: 0.11627
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finance Chat GGUF (TheBloke/finance-chat-GGUF)
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Finance Chat GGUF Parameters and Internals

Model Type 
llama
Supported Languages 
en (English)
Input Output 
Input Format:
[INST] <> {system_message} <> {prompt} [/INST]
LLM NameFinance Chat GGUF
Repository 🤗https://huggingface.co/TheBloke/finance-chat-GGUF 
Model NameFinance Chat
Model CreatorAdaptLLM
Base Model(s)  Finance Chat   AdaptLLM/finance-chat
Required VRAM2.8 GB
Updated2026-04-04
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

Best Alternatives to Finance Chat GGUF

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...ixtral 8x7B Instruct V0.1 GGUF0K / 15.6 GB18053655
Dolphin 2.5 Mixtral 8x7b GGUF0K / 15.6 GB20494308
Dolphin 2.7 Mixtral 8x7b GGUF0K / 15.6 GB10801171
Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB155417
Spydaz Web AI 0K / 4.4 GB1543
Autocomplete Model0K / 4.1 GB1020
Phi 3 Mini 4K Instruct0K / 2.3 GB400
...3 Mini 4k OLScience 4bitQ Gguf0K / 2.3 GB180
Dre Phi Gguf0K / 2.3 GB90
...i 3 Mini 4K Instruct V0.3 GGUF0K / 1.4 GB2275
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/finance-chat-GGUF.

Rank the Finance Chat GGUF 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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