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Na M2 1000steps 1e7 SFT by tsavage68

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/tsavage68/Na_M2_1000steps_1e7_SFT 

Na M2 1000steps 1e7 SFT Benchmarks

LLME Score: 0.21448
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Na M2 1000steps 1e7 SFT (tsavage68/Na_M2_1000steps_1e7_SFT)

Na M2 1000steps 1e7 SFT Parameters and Internals

LLM NameNa M2 1000steps 1e7 SFT
Repository 🤗https://huggingface.co/tsavage68/Na_M2_1000steps_1e7_SFT 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM14.4 GB
Updated2025-01-28
Maintainertsavage68
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than tsavage68/Na_M2_1000steps_1e7_SFT.

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Release v20241227
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