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Jackalope 7B by openaccess-ai-collective

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Jackalope 7B is an open-source language model by openaccess-ai-collective. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 61.2, LLM Explorer Score: 0.13, Arc: 63.4, HellaSwag: 83.3, MMLU: 63.5, TruthfulQA: 50.1, WinoGrande: 78.1, GSM8K: 28.7.

  Arxiv:2301.13688   Arxiv:2306.02707   Conversational Dataset:ldjnr/lesswrong-amplif...   Dataset:ldjnr/pure-dove   Dataset:ldjnr/verified-camel   Dataset:meta-math/metamathqa   Dataset:open-orca/openorca   Dataset:pygmalionai/pippa   Dataset:riddle sense   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/openaccess-ai-collective/jackalope-7b 

Jackalope 7B Benchmarks

ARC: 63.4 vs 96.7 (so35)-34.4%
HellaSwag: 83.29 vs 95.3 (gpt4)-12.6%
MMLU: 63.5 vs 88.3 (so35)-28.1%
TruthfulQA: 50.06 vs 59 (gpt4)-15.2%
WinoGrande: 78.06 vs 87.5 (gpt4)-10.8%
GSM8K: 28.66 vs 96.4 (so35)-70.3%
LLME Score: 0.12738
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jackalope 7B (openaccess-ai-collective/jackalope-7b)
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Jackalope 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, multimodal applications
Applications:
chatbots, automated reasoning
Primary Use Cases:
multi-turn chat, text generation
Supported Languages 
en (English)
Training Details 
Data Sources:
Open-Orca/OpenOrca, LDJnr/LessWrong-Amplify-Instruct, LDJnr/Pure-Dove, LDJnr/Verified-Camel, PygmalionAI/PIPPA, meta-math/MetaMathQA, riddle_sense
Methodology:
Fine-tuning on SlimOrca dataset, multi-turn chat improved with OpenChat packing, trained with Axolotl
Training Time:
96 hours with 8x A6000 GPUs
Hardware Used:
8x A6000 GPUs
Input Output 
Input Format:
OpenAI's ChatML format with special tokens
Accepted Modalities:
text
Performance Tips:
Use 'tokenize=True' and 'return_tensors="pt"' for optimized performance
Release Notes 
Notes:
Release highlights the efficiency and improved multi-turn chat capabilities.
LLM NameJackalope 7B
Repository 🤗https://huggingface.co/openaccess-ai-collective/jackalope-7b 
Model Size7b
Required VRAM14.4 GB
Updated2026-03-29
Maintaineropenaccess-ai-collective
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Jackalope 7B

Model
Likes
Downloads
VRAM
Jackalope 7B GGUF72383 GB
Jackalope 7B GPTQ0174 GB
Jackalope 7B AWQ164 GB

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Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/jackalope-7b.

Rank the Jackalope 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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