What are the hardware requirements for Llama 2 34B Uncode?

Llama 2 34B Uncode requires approximately 67.5 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 Llama 2 34B Uncode and how large is it?

Llama 2 34B Uncode is developed by chargoddard, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 2 34B Uncode perform on standard benchmarks?

Llama 2 34B Uncode has the following published scores: MMLU 38.49. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 2 34B Uncode by chargoddard — VRAM 67.5GB, 16K context

Name: Llama 2 34B Uncode
Author: chargoddard

Llama 2 34B Uncode is an open-source language model by chargoddard. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: llama2, LLM Explorer Score: 0.12, Arc: 39.5, HellaSwag: 33.9, MMLU: 38.5, GSM8K: 20.8.

Dataset:the pile books3 Dataset:togethercomputer/redpa... En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chargoddard/llama-2-34b-uncode

Llama 2 34B Uncode Parameters and Internals

Supported Languages

en (high proficiency)

Training Details

Data Sources:

the_pile_books3, togethercomputer/RedPajama-Data-1T-Sample

LLM Name	Llama 2 34B Uncode
Repository 🤗	https://huggingface.co/chargoddard/llama-2-34b-uncode
Model Size	34b
Required VRAM	67.5 GB
Updated	2026-07-26
Maintainer	chargoddard
Model Type	llama
Model Files	9.8 GB: 1-of-7 9.7 GB: 2-of-7 9.7 GB: 3-of-7 9.7 GB: 4-of-7 9.7 GB: 5-of-7 9.7 GB: 6-of-7 9.2 GB: 7-of-7
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 34B Uncode 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

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Bagel Hermes 34B Slerp	195K / 68.9 GB	8375	1
34B Beta	195K / 69.2 GB	8233	67
Smaug 34B V0.1	195K / 69.2 GB	8082	64
Casual Magnum 34B	195K / 68.8 GB	4	1
Yi 34B 200K	195K / 68.9 GB	8700	320
Bagel 34B V0.2	195K / 68.7 GB	259	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	57	12
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7812	0
Faro Yi 34B	195K / 69.2 GB	8208	6
Bagel DPO 34B V0.5	195K / 68.7 GB	8040	17

Note: green Score (e.g. "73.2") means that the model is better than chargoddard/llama-2-34b-uncode.