What are the hardware requirements for Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv?

Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv by gradients-io-tournaments — VRAM 0.2GB

Name: Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv
Author: gradients-io-tournaments

Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv is an open-source language model by gradients-io-tournaments. Features: 3b LLM, VRAM: 0.2GB, Instruction-Based, LLM Explorer Score: 0.24.

Arxiv:1910.09700 Base model:adapter:/cache/mode... Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-3b-ins... Conversational Grpo Instruct Lora Peft Region:us Safetensors Trl

Model Card on HF 🤗: https://huggingface.co/gradients-io-tournaments/tournament-test-env-tournament-001-2d248bf7-a50b-4b33-8cc1-5be511e9bce8-5BossEnv

Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv Parameters and Internals

LLM Name	Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv
Repository 🤗	https://huggingface.co/gradients-io-tournaments/tournament-test-env-tournament-001-2d248bf7-a50b-4b33-8cc1-5be511e9bce8-5BossEnv
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	0.2 GB
Updated	2026-05-25
Maintainer	gradients-io-tournaments
Instruction-Based	Yes
Model Files	0.2 GB 0.0 GB
Model Architecture	AutoModel
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|k_proj\|o_proj\|gate_proj\|q_proj\|down_proj\|up_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32
Errors	replace

Rank the Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv 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 Tournament Test Env Tournament 001 2d248bf7 A50b 4b33 8cc1 5be511e9bce8 5BossEnv

Best Alternatives	Context / RAM	Downloads	Likes
DAIsy Qwen Adapters	0K / 0.1 GB	10	0
CYPHER GUARD 3B	0K / 0.1 GB	14	1
Aether 2.3	0K / 0.1 GB	23	2
Testsentry Llama 3B	0K / 0 GB	33	0
Falcon 3B Finetune V1.0	0K / 0.1 GB	23	3
Falcon 3B Finetune V1.0	0K / 0.1 GB	4	4
Falcon 3B Finetune V1.0	0K / 0.1 GB	4	2
Falcon 3 3B Rp Lora Model	0K / 0.1 GB	0	2
Phi 4 Sky Lora	0K / 0.3 GB	0	2
Qwen 2.5 3B Lora Model	0K / 0.1 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than gradients-io-tournaments/tournament-test-env-tournament-001-2d248bf7-a50b-4b33-8cc1-5be511e9bce8-5BossEnv.