What are the hardware requirements for CodeLlama 13B Oasst Sft V10 GGML?

CodeLlama 13B Oasst Sft V10 GGML requires approximately 5.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CodeLlama 13B Oasst Sft V10 GGML and how large is it?

CodeLlama 13B Oasst Sft V10 GGML is developed by TheBloke, a model with 13b 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 CodeLlama 13B Oasst Sft V10 GGML?

CodeLlama 13B Oasst Sft V10 GGML is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLlama 13B Oasst Sft V10 GGML by TheBloke — VRAM 5.7GB

Name: CodeLlama 13B Oasst Sft V10 GGML
Author: TheBloke

CodeLlama 13B Oasst Sft V10 GGML is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.7GB, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.08.

Base model:finetune:openassist... Base model:openassistant/codel... Codegen Dataset:openassistant/oasst1 Dataset:shahules786/orca-best En Ggml Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-13B-oasst-sft-v10-GGML

CodeLlama 13B Oasst Sft V10 GGML Parameters and Internals

Model Type

Causal decoder-only transformer

Use Cases

Limitations:

Potential for inaccurate, biased, or objectionable responses.

Considerations:

Perform safety testing and tuning before deploying.

Supported Languages

English (High)

Training Details

Data Sources:

orca-best, OpenAssistant/oasst1

Methodology:

Finetuning with special training methods, using ChatML as the prompt format.

Model Architecture:

Causal decoder-only transformer language model

Responsible Ai Considerations

Fairness:

Testing conducted primarily in English, outputs may not be predictable in advance and can potentially be biased.

Accountability:

Developers are responsible for performing safety testing and tuning for specific applications.

Mitigation Strategies:

Developers should follow Meta's Responsible Use Guide.

Input Output

Input Format:

ChatML format with system messages and conversation turns.

Accepted Modalities:

text

LLM Name	CodeLlama 13B Oasst Sft V10 GGML
Repository 🤗	https://huggingface.co/TheBloke/CodeLlama-13B-oasst-sft-v10-GGML
Model Name	CodeLlama 13B SFT v10
Model Creator	OpenAssistant
Base Model(s)	Codellama 13B Oasst Sft V10 OpenAssistant/codellama-13b-oasst-sft-v10
Model Size	13b
Required VRAM	5.7 GB
Updated	2026-06-29
Maintainer	TheBloke
Model Type	llama
Model Files	5.7 GB 7.1 GB 6.5 GB 5.9 GB 7.3 GB 8.1 GB 8.1 GB 7.6 GB 8.9 GB 9.8 GB 9.4 GB 9.2 GB 10.8 GB 13.8 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Generates Code	Yes
Model Architecture	AutoModel
License	llama2

Rank the CodeLlama 13B Oasst Sft V10 GGML 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 CodeLlama 13B Oasst Sft V10 GGML

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 13B GGML	0K / 5.7 GB	11	33
CodeLlama 13B Instruct GGML	0K / 5.7 GB	11	19
CodeLlama 13B Python GGML	0K / 5.5 GB	5	18
Codellama 7B Instruct GGUF	0K / 2.8 GB	166	1
Codellama 13B Instruct GGUF	0K / 13.8 GB	28	0
CodeLlama 13B Instruct GGUF	0K / 5.4 GB	3987	132
...deLlama 13B Oasst Sft V10 GGUF	0K / 5.4 GB	3894	14
CodeLlama 13B Python GGUF	0K / 5.4 GB	1805	36
CodeLlama 13B GGUF	0K / 5.4 GB	1262	60
MAmmoTH Coder 13B GGUF	0K / 5.4 GB	723	4

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-13B-oasst-sft-v10-GGML.