What are the hardware requirements for Openbuddy Codellama 70B V17.1 4K?

Openbuddy Codellama 70B V17.1 4K requires approximately 138.9 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 Openbuddy Codellama 70B V17.1 4K and how large is it?

Openbuddy Codellama 70B V17.1 4K is developed by OpenBuddy, a model with 70b 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 Openbuddy Codellama 70B V17.1 4K?

Openbuddy Codellama 70B V17.1 4K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openbuddy Codellama 70B V17.1 4K by OpenBuddy — VRAM 138.9GB, 16K context

Name: Openbuddy Codellama 70B V17.1 4K
Author: OpenBuddy

Openbuddy Codellama 70B V17.1 4K is an open-source language model by OpenBuddy. Features: 70b LLM, VRAM: 138.9GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.11.

Codegen De En Fr It Ja Ko Llama Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/ff670/openbuddy-codellama-70b-v17.1-4k

Openbuddy Codellama 70B V17.1 4K Parameters and Internals

LLM Name	Openbuddy Codellama 70B V17.1 4K
Repository 🤗	https://huggingface.co/ff670/openbuddy-codellama-70b-v17.1-4k
Model Size	70b
Required VRAM	138.9 GB
Updated	2026-08-05
Maintainer	OpenBuddy
Model Type	llama
Model Files	4.8 GB: 1-of-29 4.7 GB: 2-of-29 5.0 GB: 3-of-29 5.0 GB: 4-of-29 4.7 GB: 5-of-29 4.7 GB: 6-of-29 4.7 GB: 7-of-29 5.0 GB: 8-of-29 5.0 GB: 9-of-29 4.7 GB: 10-of-29 4.7 GB: 11-of-29 4.7 GB: 12-of-29 5.0 GB: 13-of-29 5.0 GB: 14-of-29 4.7 GB: 15-of-29 4.7 GB: 16-of-29 4.7 GB: 17-of-29 5.0 GB: 18-of-29 5.0 GB: 19-of-29 4.7 GB: 20-of-29 4.7 GB: 21-of-29 4.7 GB: 22-of-29 5.0 GB: 23-of-29 5.0 GB: 24-of-29 4.7 GB: 25-of-29 4.7 GB: 26-of-29 4.7 GB: 27-of-29 5.0 GB: 28-of-29 3.9 GB: 29-of-29
Supported Languages	zh en fr de ja ko it ru
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.38.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	37632
Torch Data Type	bfloat16

Rank the Openbuddy Codellama 70B V17.1 4K 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 Openbuddy Codellama 70B V17.1 4K

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 70B Hf	16K / 77 GB	629	324
Sqlcoder 70B Alpha	16K / 138.7 GB	30	232
CodeLlama 70B Hf	16K / 77 GB	42	29
BigCodeLlama 169B	16K / 338.2 GB	550	14
...enbuddy Codellama 70B V17.1 4K	16K / 138.9 GB	5	1
CodeLlama 70B Instruct Hf	4K / 72.3 GB	729	24
Code Llama 70B Python Instruct	4K / 138.1 GB	5	1
CodeLlama 70B Instruct Hf	4K / 72.3 GB	463	210
CodeLlama 70B Python Hf	4K / 77 GB	186	111
CodeRosa 70B AB1	4K / 61.3 GB	70	1

Note: green Score (e.g. "73.2") means that the model is better than ff670/openbuddy-codellama-70b-v17.1-4k.