What are the hardware requirements for CodeLlama 70B Esper?

CodeLlama 70B Esper requires approximately 212 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 CodeLlama 70B Esper and how large is it?

CodeLlama 70B Esper is developed by ValiantLabs, 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 CodeLlama 70B Esper?

CodeLlama 70B Esper is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLlama 70B Esper by ValiantLabs — VRAM 212GB, 4K context

Name: CodeLlama 70B Esper
Author: ValiantLabs

CodeLlama 70B Esper is an open-source language model by ValiantLabs. Features: 70b LLM, VRAM: 212GB, Context: 4K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.11.

Model Card on HF 🤗: https://huggingface.co/ValiantLabs/CodeLlama-70B-Esper

CodeLlama 70B Esper Parameters and Internals

LLM Name	CodeLlama 70B Esper
Repository 🤗	https://huggingface.co/ValiantLabs/CodeLlama-70B-Esper
Model Size	70b
Required VRAM	212 GB
Updated	2026-08-05
Maintainer	ValiantLabs
Model Type	llama
Model Files	4.8 GB: 1-of-61 4.6 GB: 2-of-61 4.4 GB: 3-of-61 5.0 GB: 4-of-61 4.4 GB: 5-of-61 4.4 GB: 6-of-61 5.0 GB: 7-of-61 4.4 GB: 8-of-61 4.4 GB: 9-of-61 5.0 GB: 10-of-61 4.4 GB: 11-of-61 4.4 GB: 12-of-61 5.0 GB: 13-of-61 4.4 GB: 14-of-61 4.4 GB: 15-of-61 5.0 GB: 16-of-61 4.4 GB: 17-of-61 4.4 GB: 18-of-61 5.0 GB: 19-of-61 4.4 GB: 20-of-61 4.4 GB: 21-of-61 5.0 GB: 22-of-61 4.4 GB: 23-of-61 4.4 GB: 24-of-61 5.0 GB: 25-of-61 4.4 GB: 26-of-61 4.4 GB: 27-of-61 5.0 GB: 28-of-61 4.4 GB: 29-of-61 4.4 GB: 30-of-61 5.0 GB: 31-of-61 4.4 GB: 32-of-61 4.4 GB: 33-of-61 5.0 GB: 34-of-61 4.4 GB: 35-of-61 4.4 GB: 36-of-61 5.0 GB: 37-of-61 4.4 GB: 38-of-61 4.4 GB: 39-of-61 5.0 GB: 40-of-61 4.4 GB: 41-of-61 4.4 GB: 42-of-61 5.0 GB: 43-of-61 4.4 GB: 44-of-61 4.4 GB: 45-of-61 5.0 GB: 46-of-61
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32016
Torch Data Type	float32

Rank the CodeLlama 70B Esper capabilities

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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 70B Esper

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	9	1
...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

Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/CodeLlama-70B-Esper.