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ECE PRYMMAL 0.5B FT V4 MUSR ENSEMBLE Mathis by MEscriva

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Model Card on HF 🤗: https://huggingface.co/MEscriva/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis 

ECE PRYMMAL 0.5B FT V4 MUSR ENSEMBLE Mathis Benchmarks

LLME Score: 0.2408
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE PRYMMAL 0.5B FT V4 MUSR ENSEMBLE Mathis (MEscriva/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis)

ECE PRYMMAL 0.5B FT V4 MUSR ENSEMBLE Mathis Parameters and Internals

LLM NameECE PRYMMAL 0.5B FT V4 MUSR ENSEMBLE Mathis
Repository 🤗https://huggingface.co/MEscriva/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis 
Model Size0.5b
Required VRAM2 GB
Updated2024-12-26
MaintainerMEscriva
Model Typeqwen2
Model Files  2.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Reader Lm 0.5B250K / 1 GB666128
Qwen2 0.5B128K / 1 GB880789120
...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB321
....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
...0.5B FT MUSR ENSEMBLE V2Mathis128K / 1 GB250
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB360
ECE PRYMMAL 0.5B FT V4 MUSR128K / 2 GB290
Qwen2 0.5B128K / 1 GB38202
...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB221
Note: green Score (e.g. "73.2") means that the model is better than MEscriva/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis.

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Release v20241217
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