What are the hardware requirements for Ballistic CodeLlama 34B V1?

Ballistic CodeLlama 34B V1 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 Ballistic CodeLlama 34B V1 and how large is it?

Ballistic CodeLlama 34B V1 is developed by BallisticAI, 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 Ballistic CodeLlama 34B V1?

Ballistic CodeLlama 34B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ballistic CodeLlama 34B V1 by BallisticAI — VRAM 67.5GB, 16K context

Name: Ballistic CodeLlama 34B V1
Author: BallisticAI

Ballistic CodeLlama 34B V1 is an open-source language model by BallisticAI. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.1.

Base model:ballisticai/ballist... Base model:finetune:ballistica... Code llama Codegen Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BallisticAI/Ballistic-CodeLlama-34B-v1

Ballistic CodeLlama 34B V1 Parameters and Internals

Model Type

text-generation

Additional Notes

This model has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.

Training Details

Data Sources:

jondurbin/airoboros-2.2

Methodology:

Merged CodeLlama 34B v2 with speechless-codellama-34b-v2

Input Output

Input Format:

Alpaca/Vicuna instruction format

LLM Name	Ballistic CodeLlama 34B V1
Repository 🤗	https://huggingface.co/BallisticAI/Ballistic-CodeLlama-34B-v1
Model Creator	BallisticAI
Base Model(s)	Ballistic CodeLlama 34B V1 BallisticAI/Ballistic-CodeLlama-34B-v1
Model Size	34b
Required VRAM	67.5 GB
Updated	2026-09-01
Maintainer	BallisticAI
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
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Ballistic CodeLlama 34B V1 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

Quantized Models of the Ballistic CodeLlama 34B V1

Model	Likes	Downloads	VRAM
...allistic CodeLlama 34B V1 GGUF	0	25	35 GB

Best Alternatives to Ballistic CodeLlama 34B V1

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
ReflectionCoder CL 34B	16K / 67.6 GB	7735	0
Speechless Codellama 34B V2.0	16K / 67.5 GB	96	17
CodeLlama 34B Hf	16K / 67.5 GB	27673	178
Phind CodeLlama 34B V2	16K / 67.5 GB	618	834
Phind CodeLlama 34B V1	16K / 67.5 GB	165	320
Phind CodeLlama 34B Python V1	16K / 67.5 GB	180	252

Note: green Score (e.g. "73.2") means that the model is better than BallisticAI/Ballistic-CodeLlama-34B-v1.