What are the hardware requirements for Readall Readtwice 14B Stage A Step230 20260923?

Readall Readtwice 14B Stage A Step230 20260923 requires approximately 29.7 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.

Who developed Readall Readtwice 14B Stage A Step230 20260923 and how large is it?

Readall Readtwice 14B Stage A Step230 20260923 is developed by Xirui1208, 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 Readall Readtwice 14B Stage A Step230 20260923?

Readall Readtwice 14B Stage A Step230 20260923 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Readall Readtwice 14B Stage A Step230 20260923 by Xirui1208 — VRAM 29.7GB, 32K context

Name: Readall Readtwice 14B Stage A Step230 20260923
Author: Xirui1208

Readall Readtwice 14B Stage A Step230 20260923 is an open-source language model by Xirui1208. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in... Conversational Dataset:xirui1208/readall-sft-... En Endpoints compatible Instruct Long-context Memory Qwen2 Readtwice Region:us Safetensors Sharded Supervised-fine-tuning Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/Xirui1208/readall-readtwice-14b-stage-a-step230-20260923

Readall Readtwice 14B Stage A Step230 20260923 Parameters and Internals

LLM Name	Readall Readtwice 14B Stage A Step230 20260923
Repository 🤗	https://huggingface.co/Xirui1208/readall-readtwice-14b-stage-a-step230-20260923
Base Model(s)	Qwen/Qwen2.5-14B-Instruct Qwen/Qwen2.5-14B-Instruct
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-09-29
Maintainer	Xirui1208
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 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 4.7 GB: 6-of-6
Supported Languages	en zh
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Readall Readtwice 14B Stage A Step230 20260923 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 Readall Readtwice 14B Stage A Step230 20260923

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
...hts Qwen2.5 14B Coder Creative	986K / 29.3 GB	267	0

Note: green Score (e.g. "73.2") means that the model is better than Xirui1208/readall-readtwice-14b-stage-a-step230-20260923.