What are the hardware requirements for Phonellm Alpha 1?

Phonellm Alpha 1 requires approximately 63.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phonellm Alpha 1 and how large is it?

Phonellm Alpha 1 is developed by pipecat-ai, a model with 30b 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 Phonellm Alpha 1?

Phonellm Alpha 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phonellm Alpha 1 by pipecat-ai — VRAM 63.2GB, 256K context

Name: Phonellm Alpha 1
Author: pipecat-ai

Phonellm Alpha 1 is an open-source language model by pipecat-ai. Features: 30b LLM, VRAM: 63.2GB, Context: 256K, License: bsd-2-clause, LLM Explorer Score: 0.39.

Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Custom code En Endpoints compatible Function-calling Mixture-of-experts Nemotron Nemotron h Phone Pipecat Region:us Safetensors Sharded Tensorflow Tool-use Voice-agent

Model Card on HF 🤗: https://huggingface.co/pipecat-ai/phonellm-alpha-1

Phonellm Alpha 1 Parameters and Internals

LLM Name	Phonellm Alpha 1
Repository 🤗	https://huggingface.co/pipecat-ai/phonellm-alpha-1
Base Model(s)	...A Nemotron 3 Nano 30B A3B BF16 nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Model Size	30b
Required VRAM	63.2 GB
Updated	2026-08-28
Maintainer	pipecat-ai
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 3.2 GB: 13-of-13
Supported Languages	en
Model Architecture	NemotronHForCausalLM
License	bsd-2-clause
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Phonellm Alpha 1 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 Phonellm Alpha 1

Best Alternatives	Context / RAM	Downloads	Likes
...on 3.5 Lightning 30B A3B NVFP4	1024K / 12.6 GB	19250	100
...30B A3B NVFP4 Global Pruned 15	1024K / 11 GB	148	19
...A Nemotron 3 Nano 30B A3B BF16	256K / 63.2 GB	1645889	752
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	1568	8
...ron 3.5 Lightning 30B A3B BF16	256K / 65.9 GB	15740	62
Nemotron Cascade 2 30B A3B	256K / 63.2 GB	88240	518
...IA Nemotron 3 Nano 30B A3B FP8	256K / 32.7 GB	566152	356
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	765499	174
...otron 3 Nano 30B A3B Base BF16	256K / 63.2 GB	90736	127
Nemotron 3 Nano 30B A3B	256K / 63.2 GB	174315	14

Note: green Score (e.g. "73.2") means that the model is better than pipecat-ai/phonellm-alpha-1.