What are the hardware requirements for Olmo 3.1 7B RL Zero Code?

Olmo 3.1 7B RL Zero Code requires approximately 14.6 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Olmo 3.1 7B RL Zero Code and how large is it?

Olmo 3.1 7B RL Zero Code is developed by allenai, a model with 7b 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 Olmo 3.1 7B RL Zero Code?

Olmo 3.1 7B RL Zero Code is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Olmo 3.1 7B RL Zero Code by allenai — VRAM 14.6GB, 64K context

Name: Olmo 3.1 7B RL Zero Code
Author: allenai

Olmo 3.1 7B RL Zero Code is an open-source language model by allenai. Features: 7b LLM, VRAM: 14.6GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.23.

Arxiv:2512.13961 Base model:allenai/olmo-3-1025... Base model:finetune:allenai/ol... Conversational Dataset:allenai/dolci-rl-zero-... Deploy:azure En Endpoints compatible Olmo3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/Olmo-3.1-7B-RL-Zero-Code

Olmo 3.1 7B RL Zero Code Benchmarks

LLME Score: 0.22894

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

What is the LLM Explorer Rank (Score)

Olmo 3.1 7B RL Zero Code (allenai/Olmo-3.1-7B-RL-Zero-Code)

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Olmo 3.1 7B RL Zero Code Parameters and Internals

LLM Name	Olmo 3.1 7B RL Zero Code
Repository 🤗	https://huggingface.co/allenai/Olmo-3.1-7B-RL-Zero-Code
Base Model(s)	Olmo 3 1025 7B allenai/Olmo-3-1025-7B
Model Size	7b
Required VRAM	14.6 GB
Updated	2026-06-04
Maintainer	allenai
Model Type	olmo3
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.6 GB: 3-of-3
Supported Languages	en
Model Architecture	Olmo3ForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100278

Best Alternatives to Olmo 3.1 7B RL Zero Code

Best Alternatives	Context / RAM	Downloads	Likes
Olmo 3 7B Instruct	64K / 14.6 GB	460068	128
Olmo 3 7B Think	64K / 14.6 GB	55288	98
Olmo 3 1025 7B	64K / 14.6 GB	89395	71
Olmo 3 7B Instruct SFT	64K / 14.6 GB	58982	4
Olmo 3 7B Instruct DPO	64K / 14.6 GB	11138	3
Olmo 3 7B Think SFT	64K / 14.6 GB	16886	10
Olmo 3 7B Think DPO	64K / 14.6 GB	4695	7
Olmo 3.1 7B RL Zero Math	64K / 14.6 GB	1116	11
Olmo 3 7B RL Zero Math	64K / 14.6 GB	465	13
Olmo 3 7B Instruct	64K / 14.6 GB	450	0

Note: green Score (e.g. "73.2") means that the model is better than allenai/Olmo-3.1-7B-RL-Zero-Code.

Rank the Olmo 3.1 7B RL Zero Code 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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Olmo 3.1 7B RL Zero Code by allenai

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Olmo 3.1 7B RL Zero Code Benchmarks

Olmo 3.1 7B RL Zero Code Parameters and Internals

Best Alternatives to Olmo 3.1 7B RL Zero Code

Rank the Olmo 3.1 7B RL Zero Code Capabilities

What open-source LLMs or SLMs are you in search of? 54653 in total.