What are the hardware requirements for Code Jamba V0.1?

Code Jamba V0.1 requires approximately 103.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Code Jamba V0.1 and how large is it?

Code Jamba V0.1 is developed by ajibawa-2023, a model with 51.6b 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 Code Jamba V0.1?

Code Jamba V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Code Jamba V0.1 by ajibawa-2023 — VRAM 103.4GB

Name: Code Jamba V0.1
Author: ajibawa-2023

Code Jamba V0.1 is an open-source language model by ajibawa-2023. Features: 51.6b LLM, VRAM: 103.4GB, License: apache-2.0, LLM Explorer Score: 0.12.

C++ Code Conversational Custom code Dataset:ajibawa-2023/code-290k... Dataset:m-a-p/code-feedback En Endpoints compatible Jamba Julia Python R Region:us Ruby Rust Safetensors Sharded Sql Tensorflow

Model Card on HF 🤗: https://huggingface.co/ajibawa-2023/Code-Jamba-v0.1

Code Jamba V0.1 Parameters and Internals

Model Type

code generation

Use Cases

Areas:

code generation, detailed explanation of code

Applications:

Python, Java, JavaScript, GO, C++, Rust, Ruby, Sql, MySql, R, Julia, Haskell

Additional Notes

Example output for prompts will be updated soon.

Supported Languages

english (fluent)

Training Details

Data Sources:

Code-290k-ShareGPT, Code-Feedback

Methodology:

Finetuning

Training Time:

162 hours

Hardware Used:

2 x H100 94GB GPUs

Model Architecture:

qlora

Input Output

Input Format:

ChatML prompt format

Accepted Modalities:

text

Output Format:

text

Performance Tips:

You can modify the ChatML Prompt as per your requirement

LLM Name	Code Jamba V0.1
Repository 🤗	https://huggingface.co/ajibawa-2023/Code-Jamba-v0.1
Model Size	51.6b
Required VRAM	103.4 GB
Updated	2026-07-31
Maintainer	ajibawa-2023
Model Type	jamba
Model Files	5.0 GB: 1-of-21 4.9 GB: 2-of-21 5.0 GB: 3-of-21 5.0 GB: 4-of-21 5.0 GB: 5-of-21 4.9 GB: 6-of-21 4.9 GB: 7-of-21 5.0 GB: 8-of-21 4.9 GB: 9-of-21 4.9 GB: 10-of-21 4.9 GB: 11-of-21 4.9 GB: 12-of-21 4.9 GB: 13-of-21 5.0 GB: 14-of-21 4.9 GB: 15-of-21 4.9 GB: 16-of-21 4.9 GB: 17-of-21 4.9 GB: 18-of-21 5.0 GB: 19-of-21 4.9 GB: 20-of-21 4.7 GB: 21-of-21
Supported Languages	en
Model Architecture	JambaForCausalLM
License	apache-2.0
Transformers Version	4.40.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|pad\|>
Vocabulary Size	65536
Torch Data Type	bfloat16

Rank the Code Jamba V0.1 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 Code Jamba V0.1

Best Alternatives	Context / RAM	Downloads	Likes
AI21 Jamba2 Mini	256K / 103.3 GB	228	56
Jamba V0.1	256K / 103.4 GB	1833	1194
Jamba V0.1 Claude Chat	256K / 103.4 GB	5	3
Jamba V0.1 Hf	256K / 103.4 GB	5	3
Bagel Jamba V05	0K / 103.6 GB	11	7
Airoboros Jamba 3 3	0K / 103.6 GB	11	6
Jamba V0.1 Chat Multilingual	0K / 103.4 GB	15	24

Note: green Score (e.g. "73.2") means that the model is better than ajibawa-2023/Code-Jamba-v0.1.