What are the hardware requirements for Ved Code 7B 4bit?

Ved Code 7B 4bit requires approximately 5.6 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 Ved Code 7B 4bit and how large is it?

Ved Code 7B 4bit is developed by anupbth1, 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 Ved Code 7B 4bit?

Ved Code 7B 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ved Code 7B 4bit by anupbth1 — VRAM 5.6GB, 32K context

Name: Ved Code 7B 4bit
Author: anupbth1

Ved Code 7B 4bit is an open-source language model by anupbth1. Features: 7b LLM, VRAM: 5.6GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

4-bit 4bit Base model:anupbth1/ved-code-7... Base model:quantized:anupbth1/... Bitsandbytes Conversational En Endpoints compatible Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/anupbth1/Ved-Code-7B-4bit

Ved Code 7B 4bit Benchmarks

LLME Score: 0.29742

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Ved Code 7B 4bit (anupbth1/Ved-Code-7B-4bit)

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Ved Code 7B 4bit Parameters and Internals

LLM Name	Ved Code 7B 4bit
Repository 🤗	https://huggingface.co/anupbth1/Ved-Code-7B-4bit
Model Name	/content/ved_code_local
Base Model(s)	Ved Code 7B 4bit anupbth1/Ved-Code-7B-4bit
Model Size	7b
Required VRAM	5.6 GB
Updated	2026-06-04
Maintainer	anupbth1
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.0.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Errors	replace

Quantized Models of the Ved Code 7B 4bit

Model	Likes	Downloads	VRAM
Ved Code 7B 4bit	0	155	5 GB

Best Alternatives to Ved Code 7B 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M 4bit	986K / 4.3 GB	664	11
Qwen2.5 7B Instruct 1M 8bit	986K / 8.1 GB	97	4
...B Instruct 1M Unsloth Bnb 4bit	986K / 7.5 GB	77	3
Qwen2.5 7B Instruct 1M 6bit	986K / 6.2 GB	52	2
A1 V002	128K / 15.2 GB	7	0
Mini Pathfinder	128K / 15.2 GB	16	0
...still Qwen 7B Unsloth Bnb 4bit	128K / 8.5 GB	24530	25
A1 V0.0.1	128K / 15.2 GB	36	0
CogitoDistil	128K / 15.2 GB	14	0
Alisia 7B Instruct V1	128K / 15.4 GB	114	2

Rank the Ved Code 7B 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Ved Code 7B 4bit by anupbth1