Alignment-handbook Autotrain compatible Base model:finetune:yiran-wang... Base model:yiran-wang3/qwen2 c... Conversational Dataset:self-generate/qw2coder... Dpo Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/yiran-wang3/qwen2_coder7b_adamw_iter2
Qwen2 Coder7b Adamw Iter2 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)
Qwen2 Coder7b Adamw Iter2 Parameters and Internals
| LLM Name | Qwen2 Coder7b Adamw Iter2 |
| Repository 🤗 | https://huggingface.co/yiran-wang3/qwen2_coder7b_adamw_iter2 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 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 | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2 Coder7b Adamw Iter2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 2113335 | 328 |
| Hush Qwen2.5 7B Preview | 986K / 15.2 GB | 96 | 0 |
| Qwen2.5 7B RRP 1M | 986K / 15.2 GB | 221 | 6 |
| Hush Qwen2.5 7B V1.2 | 986K / 15.2 GB | 8 | 1 |
| Hush Qwen2.5 7B V1.1 | 986K / 15.2 GB | 8 | 1 |
| Hush Qwen2.5 7B V1.4 | 986K / 15.2 GB | 8 | 1 |
| Hush Qwen2.5 7B RP V1.4 1M | 986K / 15.2 GB | 42 | 2 |
| Hush Qwen2.5 7B V1.3 | 986K / 15.2 GB | 8 | 2 |
| Qwen2.5 7B Preview | 986K / 15.2 GB | 8 | 0 |
| Qwen 2.5 7B Exp Sce | 986K / 15.2 GB | 10 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than yiran-wang3/qwen2_coder7b_adamw_iter2 .
Rank the Qwen2 Coder7b Adamw Iter2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227