What are the hardware requirements for Acquisition Generator AS Format Combined Qwen14b?

Acquisition Generator AS Format Combined Qwen14b requires approximately 59.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Acquisition Generator AS Format Combined Qwen14b?

Acquisition Generator AS Format Combined Qwen14b is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Acquisition Generator AS Format Combined Qwen14b by ishikaa — VRAM 59.1GB, 32K context

Name: Acquisition Generator AS Format Combined Qwen14b
Author: ishikaa

Acquisition Generator AS Format Combined Qwen14b is an open-source language model by ishikaa. Features: 14.8b LLM, VRAM: 59.1GB, Context: 32K.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ishikaa/acquisition_generator_AS_format_combined_qwen14b

Acquisition Generator AS Format Combined Qwen14b Parameters and Internals

LLM Name	Acquisition Generator AS Format Combined Qwen14b
Repository 🤗	https://huggingface.co/ishikaa/acquisition_generator_AS_format_combined_qwen14b
Model Size	14.8b
Required VRAM	59.1 GB
Updated	2026-09-12
Maintainer	ishikaa
Model Type	qwen2
Model Files	4.8 GB: 1-of-12 5.0 GB: 2-of-12 4.9 GB: 3-of-12 5.0 GB: 4-of-12 4.9 GB: 5-of-12 5.0 GB: 6-of-12 4.9 GB: 7-of-12 5.0 GB: 8-of-12 4.9 GB: 9-of-12 5.0 GB: 10-of-12 4.9 GB: 11-of-12 4.8 GB: 12-of-12
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Acquisition Generator AS Format Combined Qwen14b capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
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Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than ishikaa/acquisition_generator_AS_format_combined_qwen14b.