Alignment-handbook Autotrain compatible Base model:finetune:yiran-wang... Base model:yiran-wang3/qwen1 c... Conversational Dataset:self-generate/qw1 refl... Dpo Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Trl
Model Card on HF 🤗: https://huggingface.co/yiran-wang3/qwen1_chat_reflct_adamw_iter3
Qwen1 Chat Reflct Adamw Iter3 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwen1 Chat Reflct Adamw Iter3 Parameters and Internals
| LLM Name | Qwen1 Chat Reflct Adamw Iter3 |
| Repository 🤗 | https://huggingface.co/yiran-wang3/qwen1_chat_reflct_adamw_iter3 |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2024-12-05 |
| Maintainer | yiran-wang3 |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen1 Chat Reflct Adamw Iter3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReaderLM V2 | 500K / 3.1 GB | 71720 | 607 |
| Reader Lm 1.5B | 250K / 3.1 GB | 628 | 596 |
| DeepSeek R1 Distill Qwen 1.5B | 128K / 3.5 GB | 1696894 | 1163 |
| DeepScaleR 1.5B Preview | 128K / 7.1 GB | 56394 | 547 |
| DeepCoder 1.5B Preview | 128K / 7.1 GB | 1915 | 61 |
| ZR1 1.5B | 128K / 7.1 GB | 1151 | 56 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 729705 | 97 |
| Open RS3 | 128K / 0 GB | 5502 | 19 |
| AlphaMaze V0.2 1.5B | 128K / 3.5 GB | 2609 | 92 |
| Qwen2 1.5B | 128K / 3.1 GB | 130478 | 91 |
Note: green Score (e.g. "73.2") means that the model is better than yiran-wang3/qwen1_chat_reflct_adamw_iter3 .
Rank the Qwen1 Chat Reflct Adamw Iter3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227