What are the hardware requirements for Open Llama 3B V2 Python Instruct 0.1.2?

Open Llama 3B V2 Python Instruct 0.1.2 requires approximately 6.9 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 0.1.2 and how large is it?

Open Llama 3B V2 Python Instruct 0.1.2 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.

Where can I download or evaluate Open Llama 3B V2 Python Instruct 0.1.2?

Open Llama 3B V2 Python Instruct 0.1.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Open Llama 3B V2 Python Instruct 0.1.2 by balrogbob — VRAM 6.9GB, 8K context

Name: Open Llama 3B V2 Python Instruct 0.1.2
Author: balrogbob

Open Llama 3B V2 Python Instruct 0.1.2 is an open-source language model by balrogbob. Features: 3b LLM, VRAM: 6.9GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4bit Autotrain compatible Base model:balrogbob/open llam... Base model:finetune:balrogbob/... En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/balrogbob/open_llama_3b_v2-python-instruct-0.1.2

Open Llama 3B V2 Python Instruct 0.1.2 Parameters and Internals

Model Type

text-generation-inference

Additional Notes

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library. It includes optimizations or improvements in training speed.

Supported Languages

en (full)

LLM Name	Open Llama 3b V2 Python Instruct 0.1.2
Repository 🤗	https://huggingface.co/balrogbob/open_llama_3b_v2-python-instruct-0.1.2
Base Model(s)	balrogbob/open_llama_3b_v2-python-instruct-0.1_4bit balrogbob/open_llama_3b_v2-python-instruct-0.1_4bit
Model Size	3b
Required VRAM	6.9 GB
Updated	2025-09-23
Maintainer	balrogbob
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.9 GB: 2-of-2
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	bfloat16

Rank the Open Llama 3B V2 Python Instruct 0.1.2 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

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Note: green Score (e.g. "73.2") means that the model is better than balrogbob/open_llama_3b_v2-python-instruct-0.1.2.