Shisa V1 Qwen2 7B by shisa-ai

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-7b-instr...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Shisa V1 Qwen2 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shisa V1 Qwen2 7B (shisa-ai/shisa-v1-qwen2-7b)

Shisa V1 Qwen2 7B Parameters and Internals

Additional Notes 
This model is a fine-tuned version of Qwen/Qwen2-7B-Instruct Training Hyperparameters: learning_rate: 8e-06, train_batch_size: 1, eval_batch_size: 1, seed: 42, distributed_type: multi-GPU, num_devices: 4, gradient_accumulation_steps: 8, total_train_batch_size: 32, total_eval_batch_size: 4, optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08, lr_scheduler_type: linear, lr_scheduler_warmup_steps: 100, num_epochs: 3
Training Details 
Context Length:
8192
Hardware Used:
multi-GPU
LLM NameShisa V1 Qwen2 7B
Repository ๐Ÿค—https://huggingface.co/shisa-ai/shisa-v1-qwen2-7b 
Base Model(s)  Qwen2 7B Instruct   Qwen/Qwen2-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
Maintainershisa-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than shisa-ai/shisa-v1-qwen2-7b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227