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Model: suayptalha/DeepSeek-R1-Distill-Llama-3B Source: Original Platform
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---
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language:
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- en
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license: llama3.2
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library_name: transformers
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tags:
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- reasoning
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- axolotl
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- r1
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base_model:
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- meta-llama/Llama-3.2-3B-Instruct
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datasets:
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- ServiceNow-AI/R1-Distill-SFT
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pipeline_tag: text-generation
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model-index:
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- name: DeepSeek-R1-Distill-Llama-3B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 70.93
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name: strict accuracy
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 21.45
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 20.92
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name: exact match
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 1.45
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name: acc_norm
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source:
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url: >-
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|
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 2.91
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|
name: acc_norm
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||||||
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source:
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url: >-
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|
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 21.98
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name: accuracy
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source:
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url: >-
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||||||
|
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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---
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# DeepSeek-R1-Distill-Llama-3B
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This model is the distilled version of DeepSeek-R1 on Llama-3.2-3B with R1-Distill-SFT dataset.
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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```yaml
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base_model: unsloth/Llama-3.2-3B-Instruct
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: true
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load_in_4bit: false
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strict: false
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chat_template: llama3
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datasets:
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- path: ./custom_dataset.json
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type: chat_template
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conversation: chatml
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ds_type: json
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add_bos_token: true
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add_eos_token: true
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use_default_system_prompt: false
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special_tokens:
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bos_token: "<|begin_of_text|>"
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eos_token: "<|eot_id|>"
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pad_token: "<|eot_id|>"
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additional_special_tokens:
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- "<|begin_of_text|>"
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- "<|eot_id|>"
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adapter: lora
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lora_model_dir:
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lora_r: 16
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lora_alpha: 32
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lora_dropout: 0.1
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lora_target_linear: true
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hub_model_id: suayptalha/DeepSeek-R1-Distill-Llama-3B
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sequence_len: 2048
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sample_packing: false
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pad_to_sequence_len: true
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micro_batch_size: 2
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gradient_accumulation_steps: 8
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num_epochs: 1
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learning_rate: 2e-5
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optimizer: paged_adamw_8bit
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lr_scheduler: cosine
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train_on_inputs: false
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group_by_length: false
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bf16: false
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fp16: true
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tf32: false
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gradient_checkpointing: true
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flash_attention: false
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logging_steps: 50
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warmup_steps: 100
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saves_per_epoch: 1
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output_dir: ./finetune-sft-results
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save_safetensors: true
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```
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</details><br>
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# Prompt Template
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You can use Llama3 prompt template while using the model:
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### Llama3
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```
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<|start_header_id|>system<|end_header_id|>
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{system}<|eot_id|>
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<|start_header_id|>user<|end_header_id|>
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{user}<|eot_id|>
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<|start_header_id|>assistant<|end_header_id|>
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{assistant}<|eot_id|>
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```
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## Example usage:
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```py
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"suayptalha/DeepSeek-R1-Distill-Llama-3B",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("suayptalha/DeepSeek-R1-Distill-Llama-3B")
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SYSTEM_PROMPT = """Respond in the following format:
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<think>
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You should reason between these tags.
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</think>
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Answer goes here...
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Always use <think> </think> tags even if they are not necessary.
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"""
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messages = [
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": "Which one is larger? 9.11 or 9.9?"},
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize = True,
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add_generation_prompt = True,
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return_tensors = "pt",
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).to("cuda")
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output = model.generate(input_ids=inputs, max_new_tokens=256, use_cache=True, temperature=0.7)
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decoded_output = tokenizer.decode(output[0], skip_special_tokens=False)
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print(decoded_output)
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```
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## Output:
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```
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<think>
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First, I need to compare the two numbers 9.11 and 9.9.
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Next, I'll analyze each number. The first digit after the decimal point in 9.11 is 1, and in 9.9, it's 9.
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Since 9 is greater than 1, 9.9 is larger than 9.11.
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</think>
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To determine which number is larger, let's compare the two numbers:
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**9.11** and **9.9**
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1. **Identify the Decimal Places:**
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- Both numbers have two decimal places.
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2. **Compare the Tens Place (Right of the Decimal Point):**
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- **9.11:** The tens place is 1.
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- **9.9:** The tens place is 9.
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3. **Conclusion:**
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- Since 9 is greater than 1, the number with the larger tens place is 9.9.
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**Answer:** **9.9** is larger than **9.11**.
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```
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## Suggested system prompt:
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```
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Respond in the following format:
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<think>
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You should reason between these tags.
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</think>
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|
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Answer goes here...
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|
|
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Always use <think> </think> tags even if they are not necessary.
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```
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# Parameters
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- lr: 2e-5
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- epochs: 1
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- batch_size: 16
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- optimizer: paged_adamw_8bit
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|
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/suayptalha__DeepSeek-R1-Distill-Llama-3B-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |23.27|
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|IFEval (0-Shot) |70.93|
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|BBH (3-Shot) |21.45|
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|MATH Lvl 5 (4-Shot)|20.92|
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|GPQA (0-shot) | 1.45|
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|MuSR (0-shot) | 2.91|
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|MMLU-PRO (5-shot) |21.98|
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|
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# License
|
||||||
|
This model was built using Meta Llama 3.2. Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
|
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|
|
||||||
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# Support
|
||||||
|
|
||||||
|
<a href="https://www.buymeacoffee.com/suayptalha" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
|
||||||
38
config.json
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config.json
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{
|
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"_name_or_path": "unsloth/Llama-3.2-3B-Instruct",
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"architectures": [
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|
"LlamaForCausalLM"
|
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],
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"attention_bias": false,
|
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|
"attention_dropout": 0.0,
|
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|
"bos_token_id": 128000,
|
||||||
|
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|
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|
||||||
|
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|
||||||
|
}
|
||||||
|
}
|
||||||
21
special_tokens_map.json
Normal file
21
special_tokens_map.json
Normal file
@@ -0,0 +1,21 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|begin_of_text|>",
|
||||||
|
"<|eot_id|>"
|
||||||
|
],
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|eot_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": "<|eot_id|>"
|
||||||
|
}
|
||||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2071
tokenizer_config.json
Normal file
2071
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user