What are the hardware requirements for Heliars Phi4 Carla X1 14B?

Heliars Phi4 Carla X1 14B requires approximately 29.4 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 Heliars Phi4 Carla X1 14B and how large is it?

Heliars Phi4 Carla X1 14B is developed by NCUT-AI, a model with 14b 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 Heliars Phi4 Carla X1 14B?

Heliars Phi4 Carla X1 14B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Heliars Phi4 Carla X1 14B by NCUT-AI — VRAM 29.4GB, 16K context

Name: Heliars Phi4 Carla X1 14B
Author: NCUT-AI

Heliars Phi4 Carla X1 14B is an open-source language model by NCUT-AI. Features: 14b LLM, VRAM: 29.4GB, Context: 16K, License: mit, Quantized, LLM Explorer Score: 0.24.

Arxiv:2412.08905 4bit Autonomous-driving Base model:finetune:unsloth/ph... Base model:unsloth/phi-4-unslo... Bfloat16 Carla Conversational En Endpoints compatible Llama Lora Opendrive Phi Phi-4 Quantized Region:us Safetensors Sft Sharded Tensorflow Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/NCUT-AI/Heliars-Phi4-Carla-X1-14B

Heliars Phi4 Carla X1 14B Parameters and Internals

LLM Name	Heliars Phi4 Carla X1 14B
Repository 🤗	https://huggingface.co/NCUT-AI/Heliars-Phi4-Carla-X1-14B
Base Model(s)	Phi 4 Unsloth Bnb 4bit unsloth/phi-4-unsloth-bnb-4bit
Model Size	14b
Required VRAM	29.4 GB
Updated	2026-08-03
Maintainer	NCUT-AI
Model Type	llama
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Supported Languages	en zh
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16
Errors	replace

Rank the Heliars Phi4 Carla X1 14B capabilities

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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 Heliars Phi4 Carla X1 14B

Best Alternatives	Context / RAM	Downloads	Likes
Parm 2 CoT 14B 16K O1 QwQ	16K / 29.4 GB	18	7
Phi 4 14B Grpo Gsm8k 3e	16K / 29.4 GB	8	0
Phi 4 14B Grpo Limo	16K / 29.4 GB	7	0
...perThoughts CoT 14B 16K O1 QwQ	16K / 29.4 GB	265	6
...hts CoT 14B 16K O1 QwQ PyTorch	16K / 29.4 GB	0	1
CausalLM 14B EXL2	8K / 8.5 GB	8	3
...struct 2512 Llamafied TextOnly	256K / 27 GB	9	3
...Qwen2.5llamaify 14B V23.3 200K	195K / 29.7 GB	10	5
...Qwen2.5llamaify 14B V23.1 200K	195K / 29.7 GB	15	1
GeM2 Llamion 14B LongChat	195K / 29 GB	7915	4

Note: green Score (e.g. "73.2") means that the model is better than NCUT-AI/Heliars-Phi4-Carla-X1-14B.