What are the hardware requirements for Llama 2 Coder 7B GPTQ?

Llama 2 Coder 7B GPTQ requires approximately 3.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 Coder 7B GPTQ and how large is it?

Llama 2 Coder 7B GPTQ is developed by TheBloke, 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 Llama 2 Coder 7B GPTQ?

Llama 2 Coder 7B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 Coder 7B GPTQ by TheBloke — VRAM 3.9GB, 4K context

Name: Llama 2 Coder 7B GPTQ
Author: TheBloke

Llama 2 Coder 7B GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.08.

4-bit Base model:mrm8488/llama-2-cod... Base model:quantized:mrm8488/l... Code Codegen Coding Dataset:huggingfaceh4/codealpa... Generated from trainer Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-Coder-7B-GPTQ

Llama 2 Coder 7B GPTQ Parameters and Internals

Model Type

text generation

Use Cases

Areas:

coding, text generation

Additional Notes

Model uses quantization process with GPTQ to reduce size and improve inference speed.

Training Details

Data Sources:

CodeAlpaca_20K

Methodology:

fine-tuned using the method QLoRA with PEFT library

Input Output

Input Format:

You are a coding assistant that will help the user to resolve the following instruction: ### Instruction: {prompt} ### Solution:

Accepted Modalities:

text

LLM Name	Llama 2 Coder 7B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-Coder-7B-GPTQ
Model Creator	mrm8488
Base Model(s)	Llama 2 Coder 7B mrm8488/llama-2-coder-7b
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	llama
Model Files	3.9 GB
Supported Languages	code
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llama 2 Coder 7B GPTQ 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 Llama 2 Coder 7B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Codebear 7B 4bit	16K / 3.9 GB	4	1
...a 7B Instruct GPTQ Calib Ja 1K	16K / 3.9 GB	6	0
CodeLlama 7B Instruct GPTQ	16K / 3.9 GB	499	46
CodeLlama 7B Python GPTQ	16K / 3.9 GB	46	24
CodeLlama 7B GPTQ	16K / 3.9 GB	63	14
Codegen Int4 GPTQ Python Code	4K / 3.9 GB	7	0
CodeLlama 7B Java 16bit	16K / 13.5 GB	10	0
Codellama 7B Bnb 4bit	16K / 3.9 GB	3695	9
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
...lama 7B Tofuagent Contpretrain	16K / 13.5 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-Coder-7B-GPTQ.