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Manticore 13B by openaccess-ai-collective

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Manticore 13B is an open-source language model by openaccess-ai-collective. Features: 13b LLM, VRAM: 26GB, Context: 2K, Instruction-Based, HF Score: 54.9, LLM Explorer Score: 0.12, Arc: 58.7, HellaSwag: 81.6, MMLU: 50.8, TruthfulQA: 49.2, WinoGrande: 76.6, GSM8K: 12.2.

Dataset:anon8231489123/sharegp... Dataset:ehartford/wizard vicun... Dataset:ehartford/wizardlm alp...   Dataset:hellaswag Dataset:metaeval/scienceqa tex... Dataset:openai/summarize from ...   Dataset:qingyisi/alpaca-cot   Dataset:tasksource/mmlu Dataset:teknium/gpt4-llm-clean... Dataset:teknium/gpteacher-gene...   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/openaccess-ai-collective/manticore-13b 

Manticore 13B Benchmarks

ARC: 58.7 vs 96.7 (so35)-39.3%
HellaSwag: 81.63 vs 95.3 (gpt4)-14.3%
MMLU: 50.84 vs 88.3 (so35)-42.4%
TruthfulQA: 49.17 vs 59 (gpt4)-16.7%
WinoGrande: 76.64 vs 87.5 (gpt4)-12.4%
GSM8K: 12.21 vs 96.4 (so35)-87.3%
LLME Score: 0.11784
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Manticore 13B (openaccess-ai-collective/manticore-13b)
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Manticore 13B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
not aligned to human preferences, can produce problematic outputs
Supported Languages 
en (English (fluent))
Training Details 
Data Sources:
anon8231489123/ShareGPT_Vicuna_unfiltered, ehartford/wizard_vicuna_70k_unfiltered, ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered, QingyiSi/Alpaca-CoT, teknium/GPT4-LLM-Cleaned, teknium/GPTeacher-General-Instruct, metaeval/ScienceQA_text_only, hellaswag, tasksource/mmlu, openai/summarize_from_feedback
Methodology:
fine-tuning
Training Time:
24 hours for 3 epochs
Hardware Used:
8xA100 80GB GPUs
Release Notes 
Version:
Preview Release
Notes:
3 epochs taking approximately 24 hours.
LLM NameManticore 13B
Repository 🤗https://huggingface.co/openaccess-ai-collective/manticore-13b 
Model Size13b
Required VRAM26 GB
Updated2025-12-22
Maintaineropenaccess-ai-collective
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Manticore 13B

Model
Likes
Downloads
VRAM
Manticore 13B GGUF24555 GB
Manticore 13B AWQ2197 GB
Manticore 13B GPTQ37177 GB

Best Alternatives to Manticore 13B

Best Alternatives
Context / RAM
Downloads
Likes
NexusRaven V2 13B16K / 26 GB103470
CodeLlama 13B Instruct Hf16K / 26 GB8910159
CodeLlama 13B MORepair16K / 26 GB22
CodeLlama 13B Instruct Hf16K / 26 GB98227
TableLLM 13B16K / 26 GB37732
NexusRaven 13B16K / 26 GB13105
Panda Coder 13B16K / 26 GB613
... Llama 2 13B Instruct Text2sql16K / 26 GB2528
Gen Sim16K / 0.3 GB83
Llama 3 13B Instruct Ft8K / 26.1 GB52
Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/manticore-13b.

Rank the Manticore 13B 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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