What are the hardware requirements for Open Llama 3B V2 Python Instruct 0.1 4bit?

Open Llama 3B V2 Python Instruct 0.1 4bit requires approximately 2.5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Open Llama 3B V2 Python Instruct 0.1 4bit and how large is it?

Open Llama 3B V2 Python Instruct 0.1 4bit is developed by balrogbob, a model with 3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Open Llama 3B V2 Python Instruct 0.1 4bit perform on standard benchmarks?

Open Llama 3B V2 Python Instruct 0.1 4bit has the following published scores: MMLU 27.3. Compare against reference models on this page or on the LLM Explorer leaderboards.

Open Llama 3B V2 Python Instruct 0.1 4bit by balrogbob — VRAM 2.5GB, 8K context

Name: Open Llama 3B V2 Python Instruct 0.1 4bit
Author: balrogbob

Open Llama 3B V2 Python Instruct 0.1 4bit is an open-source language model by balrogbob. Features: 3b LLM, VRAM: 2.5GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17, Arc: 46.6, HellaSwag: 68.2, MMLU: 27.3, GSM8K: 3.1.

4-bit 4bit Autotrain compatible Base model:openlm-research/ope... Base model:quantized:openlm-re... Bitsandbytes En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/balrogbob/open_llama_3b_v2-python-instruct-0.1_4bit

Open Llama 3B V2 Python Instruct 0.1 4bit Parameters and Internals

Model Type

text-generation-inference, transformers, llama, trl, sft

Supported Languages

en ()

Training Details

Methodology:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Open Llama 3b V2 Python Instruct 0.1 4bit
Repository 🤗	https://huggingface.co/balrogbob/open_llama_3b_v2-python-instruct-0.1_4bit
Base Model(s)	Open Llama 3b V2 openlm-research/open_llama_3b_v2
Model Size	3b
Required VRAM	2.5 GB
Updated	2025-09-23
Maintainer	balrogbob
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.4
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Open Llama 3B V2 Python Instruct 0.1 4bit 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

Quantized Models of the Open Llama 3B V2 Python Instruct 0.1 4bit

Model	Likes	Downloads	VRAM
...ma 3b V2 Python Instruct 0.1.2	0	5	6 GB

Best Alternatives to Open Llama 3B V2 Python Instruct 0.1 4bit

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...Llama 3.2 3B Legal Chatbot Sft	128K / 6.5 GB	817
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...gabl Legal Chatbot Llama3.2 3B	128K / 6.5 GB	528
Llama 3.2 3B Legal Id Sft	128K / 6.5 GB	236
Llama3 Legal Id Ft	128K / 6.5 GB	52
Llama 3.2 3B Legal Id Instruct	128K / 6.5 GB	109
Legal Chatbot Llama3.2 3B Id	128K / 6.5 GB	69
Legal Chatbot Llama3.2 3B Id	128K / 6.5 GB	68
Llama3.2 3B Legal Asisten Sft	128K / 6.5 GB	73
...3.2 3B Alpaca Indonesian Legal	128K / 6.5 GB	64

Note: green Score (e.g. "73.2") means that the model is better than balrogbob/open_llama_3b_v2-python-instruct-0.1_4bit.