What are the hardware requirements for Phi 4 Slerp ReasoningRP 9B?

Phi 4 Slerp ReasoningRP 9B requires approximately 18.8 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 4 Slerp ReasoningRP 9B and how large is it?

Phi 4 Slerp ReasoningRP 9B is developed by HeraiHench, a model with 9b 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 Phi 4 Slerp ReasoningRP 9B?

Phi 4 Slerp ReasoningRP 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 4 Slerp ReasoningRP 9B by HeraiHench — VRAM 18.8GB, 16K context

Name: Phi 4 Slerp ReasoningRP 9B
Author: HeraiHench

Phi 4 Slerp ReasoningRP 9B is an open-source language model by HeraiHench. Features: 9b LLM, VRAM: 18.8GB, Context: 16K, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:bunnycore/phi-4-mod... Base model:bunnycore/phi-4-rea... Bunnycore/phi-4-model-stock-v4 Bunnycore/phi-4-reasoningrp Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/HeraiHench/Phi-4-slerp-ReasoningRP-9B

Phi 4 Slerp ReasoningRP 9B Parameters and Internals

LLM Name	Phi 4 Slerp ReasoningRP 9B
Repository 🤗	https://huggingface.co/HeraiHench/Phi-4-slerp-ReasoningRP-9B
Base Model(s)	Phi 4 ReasoningRP Phi 4 Model Stock V4 bunnycore/Phi-4-ReasoningRP bunnycore/Phi-4-Model-Stock-v4
Merged Model	Yes
Model Size	9b
Required VRAM	18.8 GB
Updated	2025-02-04
Maintainer	HeraiHench
Model Type	llama
Model Files	1.0 GB: 1-of-20 1.0 GB: 2-of-20 0.9 GB: 3-of-20 0.9 GB: 4-of-20 1.0 GB: 5-of-20 0.9 GB: 6-of-20 0.9 GB: 7-of-20 1.0 GB: 8-of-20 0.9 GB: 9-of-20 0.9 GB: 10-of-20 1.0 GB: 11-of-20 0.9 GB: 12-of-20 0.9 GB: 13-of-20 1.0 GB: 14-of-20 0.9 GB: 15-of-20 0.9 GB: 16-of-20 1.0 GB: 17-of-20 0.9 GB: 18-of-20 0.9 GB: 19-of-20 1.0 GB: 20-of-20
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.47.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Rank the Phi 4 Slerp ReasoningRP 9B 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 Phi 4 Slerp ReasoningRP 9B

Best Alternatives	Context / RAM	Downloads	Likes
Yi 9B 200K	256K / 17.7 GB	8532	78
SekhmetX 9B V0.1 Test	256K / 21.2 GB	71	2
SekmetX 9B V0.1 Test	256K / 21.2 GB	69	2
Austral Xgen 9B Winton	256K / 21.3 GB	10	2
...rce Xgen Small 9B Rebased V0.1	256K / 42.5 GB	17	0
...rce Xgen Small 9B Rebased V0.1	256K / 42.5 GB	14	0
Mike Hawk 9B	256K / 21.3 GB	3	3
Xgen Small 9B Instruct R	256K / 42.5 GB	44	11
Xgen Small 9B Base R	256K / 42.5 GB	47	2
BigYi 15.75B 200K	256K / 30.3 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than HeraiHench/Phi-4-slerp-ReasoningRP-9B.