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Stablelm 2 1 6B Chat by stabilityai

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  Arxiv:2305.18290   Autotrain compatible   Conversational Dataset:allenai/ultrafeedback ...   Dataset:hkust-nlp/deita-10k-v0 Dataset:huggingfaceh4/ultracha...   Dataset:intel/orca dpo pairs   Dataset:ldjnr/capybara   Dataset:meta-math/metamathqa Dataset:openchat/openchat shar...   Dataset:teknium/openhermes-2.5 Dataset:wizardlm/wizardlm evol...   En   Endpoints compatible   Instruct   Region:us   Safetensors   Sharded   Stablelm   Tensorflow
Model Card on HF 🤗: https://huggingface.co/stabilityai/stablelm-2-1_6b-chat 

Stablelm 2 1 6b Chat Benchmarks

MMLU Pro: 6.91
MUSR: 5.71
BBH: 7.49
IFEval: 30.6 vs 88 (so35)-65.2%
ARC: 43.52 vs 96.7 (so35)-55%
HellaSwag: 69.24 vs 95.3 (gpt4)-27.3%
MMLU: 41.47 vs 88.3 (so35)-53%
TruthfulQA: 46.5 vs 59 (gpt4)-21.2%
WinoGrande: 64.72 vs 87.5 (gpt4)-26%
GSM8K: 38.82 vs 96.4 (so35)-59.7%
MATH Lvl 5: 2.49
LLME Score: 0.23839
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stablelm 2 1 6B Chat (stabilityai/stablelm-2-1_6b-chat)
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Stablelm 2 1 6B Chat Parameters and Internals

Model Type 
auto-regressive, transformer decoder
Use Cases 
Primary Use Cases:
Chat-like applications
Limitations:
Limited adversarial input training, Potential for misinformation and harmful outputs
Considerations:
Developers must evaluate the model for safety performance. Use input/output classifier to prevent harmful responses.
Supported Languages 
languages (English), proficiency ()
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k, meta-math/MetaMathQA, WizardLM/WizardLM_evol_instruct_V2_196k, Open-Orca/SlimOrca, openchat/openchat_sharegpt4_dataset, LDJnr/Capybara, hkust-nlp/deita-10k-v0, teknium/OpenHermes-2.5, allenai/ultrafeedback_binarized_cleaned, Intel/orca_dpo_pairs, argilla/dpo-mix-7k
Methodology:
Direct Preference Optimization (DPO)
Model Architecture:
Transformer decoder
LLM NameStablelm 2 1 6b Chat
Repository 🤗https://huggingface.co/stabilityai/stablelm-2-1_6b-chat 
Model Size6b
Required VRAM6.6 GB
Updated2025-09-23
Maintainerstabilityai
Model Typestablelm
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureStableLmForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassGPT2TokenizerFast
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typefloat32

Quantized Models of the Stablelm 2 1 6B Chat

Model
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VRAM
Vega 1 6B086 GB

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Rank the Stablelm 2 1 6B Chat Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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