Hamanasu 7B Instruct by Delta-Vector

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Hamanasu 7B Instruct is an open-source language model by Delta-Vector. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Fine-Tuned, Instruction-Based, Merged, LLM Explorer Score: 0.17.

  Merged Model Base model:delta-vector/hamana... Base model:finetune:delta-vect...   Chat Dataset:gryphe/sonnet3.5-slimo... Dataset:neweden/orion-asstr-st...   Endpoints compatible   Finetuned   Instruct   Mistral   Region:us   Roleplay   Safetensors   Sharded   Storywriting   Tensorflow

Hamanasu 7B Instruct Benchmarks

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

Hamanasu 7B Instruct Parameters and Internals

LLM NameHamanasu 7B Instruct
Repository 🤗https://huggingface.co/Delta-Vector/Hamanasu-7B-instruct 
Base Model(s)  Hamanasu 7B Base   Delta-Vector/Hamanasu-7B-Base
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-05-09
MaintainerDelta-Vector
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to Hamanasu 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB241
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB31562273149
Mistral 7B Instruct V0.132K / 14.4 GB3024581833
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mistral Sk 7B Alpaca Slovak It32K / 13.4 GB4660
Note: green Score (e.g. "73.2") means that the model is better than Delta-Vector/Hamanasu-7B-instruct.

Rank the Hamanasu 7B Instruct 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  

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Release v20260328a