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Stellaris Internlm2 20B R512 by Weyaxi

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  Autotrain compatible   Axolotl Base model:chargoddard/internl... Base model:finetune:chargoddar...   Endpoints compatible   Generated from trainer   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r512 

Stellaris Internlm2 20B R512 Benchmarks

ARC: 63.82 vs 96.7 (so35)-34%
HellaSwag: 84 vs 95.3 (gpt4)-11.9%
MMLU: 66.34 vs 88.3 (so35)-24.9%
TruthfulQA: 49.51 vs 59 (gpt4)-16.1%
WinoGrande: 84.45 vs 87.5 (gpt4)-3.5%
GSM8K: 14.63 vs 96.4 (so35)-84.8%
LLME Score: 0.1813
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stellaris Internlm2 20B R512 (Weyaxi/Stellaris-internlm2-20b-r512)

Stellaris Internlm2 20B R512 Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
Fine-tuned version of the InternLM2-20B-LLama model using the Axolotl framework.
Training Details 
Data Sources:
ARB/arb_law.json, ARB/arb_math.json, ARB/arb_mcat_reading.json, ARB/arb_mcat_science.json, ARB/arb_physics.json
Methodology:
Fine-tuned using Axolotl with quantization config from bitsandbytes
Context Length:
4096
LLM NameStellaris Internlm2 20B R512
Repository 🤗https://huggingface.co/Weyaxi/Stellaris-internlm2-20b-r512 
Base Model(s)  Internlm2 20B Llama   chargoddard/internlm2-20b-llama
Model Size20b
Required VRAM39.8 GB
Updated2025-02-05
MaintainerWeyaxi
Model Typellama
Model Files  4.8 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   4.1 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Is Biased0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size92546
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Stellaris-internlm2-20b-r512.

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Release v20241227
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