What are the hardware requirements for Test Dataset Codellama 3 8B?

Test Dataset Codellama 3 8B requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Test Dataset Codellama 3 8B and how large is it?

Test Dataset Codellama 3 8B is developed by rombodawg, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Test Dataset Codellama 3 8B perform on standard benchmarks?

Test Dataset Codellama 3 8B has the following published scores: MMLU 66.44. Compare against reference models on this page or on the LLM Explorer leaderboards.

Test Dataset Codellama 3 8B by rombodawg — VRAM 16.1GB, 8K context

Name: Test Dataset Codellama 3 8B
Author: rombodawg

Test Dataset Codellama 3 8B is an open-source language model by rombodawg. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.14, Arc: 60.6, HellaSwag: 78, MMLU: 66.4, GSM8K: 67.9.

4bit Codegen Conversational En Endpoints compatible Instruct Llama Model-index Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rombodawg/test_dataset_Codellama-3-8B

Test Dataset Codellama 3 8B Parameters and Internals

Model Type

text-generation

Additional Notes

Test model derived from llama-3-8b; full version linked above.

Training Details

Data Sources:

Replete-AI/code-test-dataset

Methodology:

Unsloth + Qlora + Galore with 4bit quantization

Context Length:

8192

Training Time:

about 40 minutes

Hardware Used:

Google Colab with under 15GB VRAM

Input Output

Input Format:

Specialized prompt format for llama-3-8b-instruct.

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Use 4bit quantization for lower VRAM usage.

LLM Name	Test Dataset Codellama 3 8B
Repository 🤗	https://huggingface.co/rombodawg/test_dataset_Codellama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-08
Maintainer	rombodawg
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Test Dataset Codellama 3 8B 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 Test Dataset Codellama 3 8B

Best Alternatives	Context / RAM	Downloads	Likes
...r 8B Instruct Unsloth Bnb 4bit	32K / 6.5 GB	67	1
...eed Coder 8B Instruct Bnb 4bit	32K / 6.1 GB	4	2
Seed Coder 8B Instruct	32K / 16.5 GB	4871	118
Seed Coder 8B Instruct GGUF	32K / 2.3 GB	1718	12
Seed Coder 8B Instruct V1	32K / 32.9 GB	43	2
Seed Coder 8B Instruct	32K / 16.5 GB	25	1
Wasm Coder 8B Instruct V1	32K / 32.9 GB	5	3
Athena Llama Coder 3 8B	32K / 16.1 GB	15	1
...plete Coder Instruct 8B Merged	8K / 16.1 GB	7703	2
Rombos Replete Coder Llama3 8B	8K / 16.1 GB	8040	3

Note: green Score (e.g. "73.2") means that the model is better than rombodawg/test_dataset_Codellama-3-8B.