Hamanasu Adventure 4B by Delta-Vector

 »  All LLMs  »  Delta-Vector  »  Hamanasu Adventure 4B   URL Share it on

Hamanasu Adventure 4B is an open-source language model by Delta-Vector. Features: 4b LLM, VRAM: 9.1GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model Base model:delta-vector/hamana... Base model:finetune:delta-vect... Dataset:pocketdoc/dans-failure... Dataset:pocketdoc/dans-persona... Dataset:pocketdoc/dans-prosema... Dataset:pocketdoc/dans-prosema... Dataset:pocketdoc/dans-prosema... Dataset:pocketdoc/dans-prosema...   Finetuned   Instruct   Llama   Region:us   Roleplay   Safetensors   Sharded   Storywriting   Tensorflow

Hamanasu Adventure 4B Benchmarks

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

Hamanasu Adventure 4B Parameters and Internals

LLM NameHamanasu Adventure 4B
Repository 🤗https://huggingface.co/Delta-Vector/Hamanasu-Adventure-4B 
Base Model(s)  Hamanasu 4B Instruct KTO V2   Delta-Vector/Hamanasu-4B-Instruct-KTO-V2
Merged ModelYes
Model Size4b
Required VRAM9.1 GB
Updated2026-05-03
MaintainerDelta-Vector
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Hamanasu Adventure 4B

Best Alternatives
Context / RAM
Downloads
Likes
HoldMy4BKTO256K / 8.8 GB50
Xgen Small 4B Instruct R256K / 17.7 GB474
Aura 4B128K / 9 GB1313
Hamanasu Magnum 4B128K / 9 GB405
Hamanasu 4B Chat Brainrot128K / 9 GB134
Hamanasu 4B Instruct KTO V2128K / 9 GB52
Hamanasu 4B Instruct KTO V1128K / 9 GB32
4B Inst128K / 9 GB160
Hamanasu 4B Instruct128K / 9 GB22
4B Inst128K / 9 GB60
Note: green Score (e.g. "73.2") means that the model is better than Delta-Vector/Hamanasu-Adventure-4B.

Rank the Hamanasu Adventure 4B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 53972 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a