What are the hardware requirements for H2ogpt 16K Codellama 34B Instruct?

H2ogpt 16K Codellama 34B Instruct 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 H2ogpt 16K Codellama 34B Instruct and how large is it?

H2ogpt 16K Codellama 34B Instruct is developed by h2oai, a model with 34b 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 H2ogpt 16K Codellama 34B Instruct?

H2ogpt 16K Codellama 34B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

H2ogpt 16K Codellama 34B Instruct by h2oai — VRAM 67.5GB, 16K context

Name: H2ogpt 16K Codellama 34B Instruct
Author: h2oai

H2ogpt 16K Codellama 34B Instruct is an open-source language model by h2oai. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: llama2, Instruction-Based, Code Generating, LLM Explorer Score: 0.08.

Codegen Endpoints compatible Instruct Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-16k-codellama-34b-instruct

H2ogpt 16K Codellama 34B Instruct Parameters and Internals

Model Type

text generation, code generation

Additional Notes

This is a clone of the CodeLlama model hosted on Hugging Face.

LLM Name	H2ogpt 16K Codellama 34B Instruct
Repository 🤗	https://huggingface.co/h2oai/h2ogpt-16k-codellama-34b-instruct
Model Size	34b
Required VRAM	67.5 GB
Updated	2026-08-08
Maintainer	h2oai
Model Type	llama
Instruction-Based	Yes
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 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
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.33.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the H2ogpt 16K Codellama 34B Instruct 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 H2ogpt 16K Codellama 34B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...gpt 32K Codellama 34B Instruct	32K / 67.5 GB	56	2
CodeLlama 34B Instruct Hf	16K / 67.5 GB	22872	304
CodeLlama 34B Instruct Hf	16K / 1.4 GB	7	3
CodeLlama 34B Instruct Hf	16K / 1.4 GB	5	3
Speechless Codellama 34B V2.0	16K / 67.5 GB	96	17
CodeLlama 34B Instruct Hf	16K / 67.5 GB	622	19
Speechless Codellama 34B V1.9	16K / 67.5 GB	286	0
XAgentLLaMa 34B Preview	16K / 157.3 GB	3	3
CodeFuse CodeLlama 34B	16K / 67.5 GB	350	93
MathCoder CL 34B	16K / 67.5 GB	17	4

Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-16k-codellama-34b-instruct.