What are the hardware requirements for Stack Codellama 7B Inst?

Stack Codellama 7B Inst requires approximately 13.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Stack Codellama 7B Inst and how large is it?

Stack Codellama 7B Inst is developed by tyson0420, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Stack Codellama 7B Inst perform on standard benchmarks?

Stack Codellama 7B Inst has the following published scores: MMLU 39.59. Compare against reference models on this page or on the LLM Explorer leaderboards.

Stack Codellama 7B Inst by tyson0420 — VRAM 13.5GB, 16K context

Name: Stack Codellama 7B Inst
Author: tyson0420

Stack Codellama 7B Inst is an open-source language model by tyson0420. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: bigscience-openrail-m, Instruction-Based, Code Generating, LLM Explorer Score: 0.14, Arc: 43.5, HellaSwag: 66.2, MMLU: 39.6, GSM8K: 15.9.

Code Codegen Dataset:tyson0420/stackexchang... En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tyson0420/stack_codellama-7b-inst

Stack Codellama 7B Inst Parameters and Internals

Model Type

causal

Supported Languages

en (proficient)

Training Details

Data Sources:

tyson0420/stackexchange-4dpo-filby-clang-keywords

Context Length:

512

LLM Name	Stack Codellama 7B Inst
Repository 🤗	https://huggingface.co/tyson0420/stack_codellama-7b-inst
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-21
Maintainer	tyson0420
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	bigscience-openrail-m
Context Length	16384
Model Max Length	16384
Transformers Version	4.37.2
Tokenizer Class	CodeLlamaTokenizer
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the Stack Codellama 7B Inst 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 Stack Codellama 7B Inst

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
CodeV CL 7B	16K / 13.5 GB	430	1
CodeLlama 7B Instruct Hf	16K / 13.5 GB	2313	63
Glaive Coder 7B	16K / 27 GB	85	55
...deLlama 7B Instruct Hf 8bits Q	16K / 4.2 GB	17	1
Llama 2 7B Chat Finetune5	16K / 13.8 GB	3	1
...ama 7B Instruct Hf Dequantized	16K / 13.5 GB	197	0
CodeLLama SFT FILTERED	16K / 13.5 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than tyson0420/stack_codellama-7b-inst.