What are the hardware requirements for VeriLadder QwenCoder 7B?

VeriLadder QwenCoder 7B requires approximately 15.2 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 VeriLadder QwenCoder 7B and how large is it?

VeriLadder QwenCoder 7B is developed by anonymous-review-0000, a model with 7b 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 VeriLadder QwenCoder 7B?

VeriLadder QwenCoder 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

VeriLadder QwenCoder 7B by anonymous-review-0000 — VRAM 15.2GB, 32K context

Name: VeriLadder QwenCoder 7B
Author: anonymous-review-0000

VeriLadder QwenCoder 7B is an open-source language model by anonymous-review-0000. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.34.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-coder-... Code Codegen Conversational Dataset:anonymous-review-0000/... En Endpoints compatible Hardware-design Instruct Lora Qwen2 Region:us Safetensors Sharded Tensorflow Verilog

Model Card on HF 🤗: https://huggingface.co/anonymous-review-0000/VeriLadder-QwenCoder-7B

VeriLadder QwenCoder 7B Parameters and Internals

LLM Name	VeriLadder QwenCoder 7B
Repository 🤗	https://huggingface.co/anonymous-review-0000/VeriLadder-QwenCoder-7B
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-11-03
Maintainer	anonymous-review-0000
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
LoRA Model	Yes
Errors	replace

Rank the VeriLadder QwenCoder 7B 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 VeriLadder QwenCoder 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	33	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
DroidSenior 7B	32K / 15.2 GB	210	1
FinoCode 7B	32K / 15.2 GB	125	0
AERA Coder Hybrid	32K / 15.4 GB	207	1

Note: green Score (e.g. "73.2") means that the model is better than anonymous-review-0000/VeriLadder-QwenCoder-7B.