What are the hardware requirements for Finemath Ablation Owm?

Finemath Ablation Owm requires approximately 6.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Finemath Ablation Owm and how large is it?

Finemath Ablation Owm is developed by HuggingFaceTB, a model with 3b 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 Finemath Ablation Owm?

Finemath Ablation Owm is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Finemath Ablation Owm by HuggingFaceTB — VRAM 6.5GB, 4K context

Name: Finemath Ablation Owm
Author: HuggingFaceTB

Finemath Ablation Owm is an open-source language model by HuggingFaceTB. Features: 3b LLM, VRAM: 6.5GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Dataset:huggingfacetb/finemath En Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/finemath-ablation-owm

Finemath Ablation Owm Parameters and Internals

LLM Name	Finemath Ablation Owm
Repository 🤗	https://huggingface.co/HuggingFaceTB/finemath-ablation-owm
Base Model(s)	meta-llama/Llama-3.2-3B meta-llama/Llama-3.2-3B
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-05
Maintainer	HuggingFaceTB
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Finemath Ablation Owm 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

Best Alternatives to Finemath Ablation Owm

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Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
Nanbeige4.1 3B Heretic	256K / 7.9 GB	149	50
Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	18	0
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/finemath-ablation-owm.