What are the hardware requirements for Xh En SpeakerIDs?

Xh En SpeakerIDs requires approximately 7.6 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Xh En SpeakerIDs and how large is it?

Xh En SpeakerIDs is developed by IIEleven11, a model with 3.3b 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 Xh En SpeakerIDs?

Xh En SpeakerIDs is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Xh En SpeakerIDs by IIEleven11 — VRAM 7.6GB, 128K context

Name: Xh En SpeakerIDs
Author: IIEleven11

Xh En SpeakerIDs is an open-source language model by IIEleven11. Features: 3.3b LLM, VRAM: 7.6GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

Autotrain compatible Base model:finetune:iieleven11... Base model:iieleven11/xh en sp... Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/IIEleven11/xh_en_speakerIDs

Xh En SpeakerIDs Parameters and Internals

LLM Name	Xh En SpeakerIDs
Repository 🤗	https://huggingface.co/IIEleven11/xh_en_speakerIDs
Base Model(s)	Xh En SpeakerIDs IIEleven11/xh_en_speakerIDs
Model Size	3.3b
Required VRAM	7.6 GB
Updated	2025-07-22
Maintainer	IIEleven11
Model Type	llama
Model Files	3.4 GB: 1-of-3 2.5 GB: 2-of-3 1.7 GB: 3-of-3
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	156943
Torch Data Type	bfloat16

Rank the Xh En SpeakerIDs 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 Xh En SpeakerIDs

Best Alternatives	Context / RAM	Downloads	Likes
Legal Rag Model	128K / 2.2 GB	8	0
Orpheus Tr Model	128K / 6.6 GB	5	0
Orpheous Multi Speaker Lug	128K / 6.6 GB	506	0
Opu 1	128K / 6.6 GB	6	0
Orpheus TTS MediaSpeech AR	128K / 6.6 GB	54	6
... FT Embraceable FirstSubset V2	128K / 6.6 GB	6	0
Orpheus TTS De	128K / 6.6 GB	12	1
Llama2 Kv Sharing	2K / 0 GB	4029	0
... Merged 16bit Checkpoint 30000	128K / 7.6 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than IIEleven11/xh_en_speakerIDs.