Jambatypus V0.1 by mlabonne

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Jambatypus V0.1 is an open-source language model by mlabonne. Features: 51.6b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.13.

  4-bit   Axolotl   Base model:ai21labs/jamba-v0.1 Base model:quantized:ai21labs/...   Bitsandbytes   Conversational   Custom code   En   Endpoints compatible   Jamba   Lora   Region:us   Safetensors

Jambatypus V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Jambatypus V0.1 Parameters and Internals

Model Type 
QLoRA fine-tuned model
Supported Languages 
en (High)
Training Details 
Data Sources:
chargoddard/Open-Platypus-Chat
Context Length:
4096
Hardware Used:
2xA100 80 GB
Input Output 
Accepted Modalities:
text
Performance Tips:
Use ChatML template for optimal performance.
Release Notes 
Version:
0.1
Notes:
The model is a fine-tuned version of ai21labs/Jamba-v0.1 on Open-Platypus-Chat dataset using QLoRA.
LLM NameJambatypus V0.1
Repository 🤗https://huggingface.co/mlabonne/Jambatypus-v0.1 
Base Model(s)  ai21labs/Jamba-v0.1   ai21labs/Jamba-v0.1
Model Size51.6b
Required VRAM0.5 GB
Updated2026-03-05
Maintainermlabonne
Model Files  0.5 GB   0.0 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj|dt_proj|out_proj|in_proj|k_proj|x_proj|o_proj|gate_proj|down_proj|up_proj|router
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Jambatypus-v0.1.

Rank the Jambatypus V0.1 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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Release v20260328a