What are the hardware requirements for Fin Llama 33B AWQ?

Fin Llama 33B AWQ requires approximately 17.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fin Llama 33B AWQ and how large is it?

Fin Llama 33B AWQ is developed by TheBloke, a model with 33b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Fin Llama 33B AWQ?

Fin Llama 33B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fin Llama 33B AWQ by TheBloke — VRAM 17.6GB, 2K context

Name: Fin Llama 33B AWQ
Author: TheBloke

Fin Llama 33B AWQ is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 17.6GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.09.

4-bit 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

Model Card on HF 🤗: https://huggingface.co/TheBloke/fin-llama-33B-AWQ

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 Name	Fin Llama 33B AWQ
Repository 🤗	https://huggingface.co/TheBloke/fin-llama-33B-AWQ
Model Name	Fin Llama 33B
Model Creator	Bavest
Base Model(s)	Fin Llama 33B Merged bavest/fin-llama-33b-merged
Model Size	33b
Required VRAM	17.6 GB
Updated	2026-07-28
Maintainer	TheBloke
Model Type	llama
Model Files	10.0 GB: 1-of-2 7.6 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Fin Llama 33B AWQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Fin Llama 33B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
WhiteRabbitNeo 33B V1 AWQ	16K / 18.1 GB	802	1
Everyone Coder 33B Base AWQ	16K / 18.1 GB	8	2
WizardCoder 33B V1.1 AWQ	16K / 18.1 GB	6	5
...eepseek Coder 33B Instruct AWQ	16K / 18.1 GB	731	42
Deepseek Coder 33B Base AWQ	16K / 18.1 GB	22	4
Code 33B AWQ	2K / 17.6 GB	4	3
Python Code 33B AWQ	2K / 17.6 GB	3	1
Vicuna 33B Coder AWQ	2K / 17.6 GB	5	1
Vicuna 33B AWQ	2K / 17.6 GB	16	2
Chronoboros 33B AWQ	2K / 17.6 GB	6	2

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