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Fin Llama 33B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Fin Llama 33B AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:bavest/fin-llama-33... Base model:quantized:bavest/fi... Dataset:bavest/fin-llama-datas...   Finance   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trading

Fin Llama 33B AWQ Benchmarks

LLME Score: 0.14546
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Fin Llama 33B AWQ Parameters and Internals

Model Type
llama
Use Cases
Areas:
finance
Limitations:
4-bit inference is slow, using `bnb_4bit_compute_type='fp16'` can lead to instabilities
Training Details
Data Sources:
bavest/fin-llama-dataset
Input Output
Input Format:Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Accepted Modalities:
text
LLM NameFin Llama 33B AWQ
Repository 🤗https://huggingface.co/TheBloke/fin-llama-33B-AWQ 
Model NameFin Llama 33B
Model CreatorBavest
Base Model(s)  Fin Llama 33B Merged   bavest/fin-llama-33b-merged
Model Size33b
Required VRAM17.6 GB
Updated2024-11-12
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   7.6 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Fin Llama 33B AWQ (TheBloke/fin-llama-33B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/fin-llama-33B-AWQ.

Rank the Fin Llama 33B AWQ Capabilities

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Instruction Following and Task Automation  
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Release v20241110
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