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AlphaMist7B Slr V4 Slow2 by Alphacode-AI

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Alphacode-AI/AlphaMist7B-slr-v4-slow2 

AlphaMist7B Slr V4 Slow2 Benchmarks

LLME Score: 0.20273
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AlphaMist7B Slr V4 Slow2 (Alphacode-AI/AlphaMist7B-slr-v4-slow2)

AlphaMist7B Slr V4 Slow2 Parameters and Internals

Additional Notes 
Train Spec: We utilized DeepSpeed / HuggingFace TRL Trainer / HuggingFace Accelerate.
Training Details 
Data Sources:
Our In House CustomData
Methodology:
fine-tuning
Hardware Used:
A100x4 * 1
LLM NameAlphaMist7B Slr V4 Slow2
Repository 🤗https://huggingface.co/Alphacode-AI/AlphaMist7B-slr-v4-slow2 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-12-09
MaintainerAlphacode-AI
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Gated ModelYes
Model ArchitectureMistralForCausalLM
Licenseproprietary
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Alphacode-AI/AlphaMist7B-slr-v4-slow2.

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Release v20241227
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