What are the hardware requirements for Qwenvergence 14B V2 Prose?

Qwenvergence 14B V2 Prose requires approximately 29.7 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 Qwenvergence 14B V2 Prose and how large is it?

Qwenvergence 14B V2 Prose is developed by sometimesanotion, 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 Qwenvergence 14B V2 Prose?

Qwenvergence 14B V2 Prose is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwenvergence 14B V2 Prose by sometimesanotion — VRAM 29.7GB, 128K context

Name: Qwenvergence 14B V2 Prose
Author: sometimesanotion

Qwenvergence 14B V2 Prose is an open-source language model by sometimesanotion. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.26.

Merged Model Autotrain compatible Base model:allura-org/tq2.5-14... Base model:arcee-ai/virtuoso-s... Base model:eva-unit-01/eva-qwe... Base model:huihui-ai/qwen2.5-1... Base model:oxyapi/oxy-1-small Base model:qwen/qwen2.5-14b Base model:sthenno-com/miscii-... Base model:underwoods/medius-e... Base model:v000000/qwen2.5-lum... Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sometimesanotion/Qwenvergence-14B-v2-Prose

Qwenvergence 14B V2 Prose Parameters and Internals

LLM Name	Qwenvergence 14B V2 Prose
Repository 🤗	https://huggingface.co/sometimesanotion/Qwenvergence-14B-v2-Prose
Base Model(s)	Medius Erebus Magnum 14B Miscii 14B 1028 EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 v000000/Qwen2.5-Lumen-14B allura-org/TQ2.5-14B-Sugarquill-v1 Oxy 1 Small huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2 Qwen/Qwen2.5-14B Virtuoso Small underwoods/medius-erebus-magnum-14b sthenno-com/miscii-14b-1028 EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 v000000/Qwen2.5-Lumen-14B allura-org/TQ2.5-14B-Sugarquill-v1 oxyapi/oxy-1-small huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2 Qwen/Qwen2.5-14B arcee-ai/Virtuoso-Small
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2024-12-21
Maintainer	sometimesanotion
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Qwenvergence 14B V2 Prose 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 Qwenvergence 14B V2 Prose

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Impish QWEN 14B 1M	986K / 29.7 GB	56	26
Q2.5 14B Instruct 1M Harmony	986K / 29.7 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than sometimesanotion/Qwenvergence-14B-v2-Prose.