What are the hardware requirements for Mini Agent V2?

Mini Agent V2 requires approximately 3.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mini Agent V2 and how large is it?

Mini Agent V2 is developed by F-A-I-L, a model with 1.5b 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 Mini Agent V2?

Mini Agent V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mini Agent V2 by F-A-I-L — VRAM 3.1GB, 32K context

Name: Mini Agent V2
Author: F-A-I-L

Mini Agent V2 is an open-source language model by F-A-I-L. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.31.

Agent Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Bash Code Codegen Conversational Dataset:agent-ark/toucan-1.5m Dataset:f-a-i-l/kodcode-verifi... Dataset:frost2o24/bash-instruc... Dataset:glaiveai/glaive-functi... Dataset:mecha-org/linux-comman... Dataset:newfacade/leetcodedata... Dataset:salesforce/xlam-functi... Dataset:team-ace/toolace Dataset:westenfelder/nl2sh-alf... Edge En Endpoints compatible Function-calling Instruct Lora On-device Python Qlora Qwen2 Qwen2.5-coder Region:us Safetensors Shell Tool-calling Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/F-A-I-L/mini-agent-v2

Mini Agent V2 Parameters and Internals

LLM Name	Mini Agent V2
Repository 🤗	https://huggingface.co/F-A-I-L/mini-agent-v2
Base Model(s)	Qwen/Qwen2.5-Coder-1.5B-Instruct Qwen/Qwen2.5-Coder-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-20
Maintainer	F-A-I-L
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Mini Agent V2 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 Mini Agent V2

Best Alternatives	Context / RAM	Downloads	Likes
Merge Cord V1	128K / 3.1 GB	155	1
Replete Coder Qwen2 1.5B	128K / 3.1 GB	233	23
Nock Coder 1.5B	32K / 3.1 GB	559	0
Temper 1 1.5B	32K / 3.1 GB	716	0
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	695585	134
Pulsar Coder 1.5B	32K / 3.1 GB	13	0
Mythos Qwen 1.5B Final	32K / 3.1 GB	104	1
Microcoder 1.5B	32K / 3.1 GB	20	4
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	69796	6
...n2.5 Coder Draft 1.5B Instruct	32K / 3.1 GB	7	0