What are the hardware requirements for SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe?

SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe 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.

SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe by secmlr — VRAM 15.2GB, 32K context

Name: SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe
Author: secmlr

SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe is an open-source language model by secmlr. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Endpoints compatible Full Generated from trainer Instruct Llama-factory Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/secmlr/SWE-BENCH-433-set-claude-file-localization-with-reasoning_qwen_code_7B_test_swe

SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe Parameters and Internals

LLM Name	SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe
Repository 🤗	https://huggingface.co/secmlr/SWE-BENCH-433-set-claude-file-localization-with-reasoning_qwen_code_7B_test_swe
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-05-16
Maintainer	secmlr
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 0.0 GB
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe 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 SWE BENCH 433 Set Claude File Localization With Reasoning Qwen Code 7B Test Swe

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	13	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
....5 Coder 7B Instruct Ghidra V2	32K / 15.2 GB	362	1
Qwen2.5 7B MS Destroyer	32K / 15.2 GB	5	1
Viper Coder HybridMini V1.3	32K / 15.2 GB	21	9

Note: green Score (e.g. "73.2") means that the model is better than secmlr/SWE-BENCH-433-set-claude-file-localization-with-reasoning_qwen_code_7B_test_swe.