Merged Model Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Replete LLM V2.5 Qwen 7B 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)
Replete LLM V2.5 Qwen 7B Parameters and Internals
| LLM Name | Replete LLM V2.5 Qwen 7B |
| Repository 🤗 | https://huggingface.co/Replete-AI/Replete-LLM-V2.5-Qwen-7b |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2024-10-04 |
| Maintainer | Replete-AI |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.43.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Replete LLM V2.5 Qwen 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gte Qwen2 7B Instruct | 128K / 30.5 GB | 19005 | 171 |
| Qwen2 7B Instruct V0.1 | 128K / 15.2 GB | 40968 | 1 |
| Einstein V7 Qwen2 7B | 128K / 15.2 GB | 3751 | 33 |
| Qwen2 7B Instruct V0.8 | 128K / 15.2 GB | 40990 | 3 |
| ...nity Instruct 3M 0625 Qwen2 7B | 128K / 15.2 GB | 3809 | 7 |
| Samantha Qwen 2 7B | 128K / 15.2 GB | 3754 | 2 |
| Qwen2 7B Instruct V0.4 | 128K / 15.2 GB | 41008 | 1 |
| Qwen2 7B Instruct V0.5 | 128K / 15.2 GB | 41019 | 1 |
| Qwen2 7B Instruct V0.7 | 128K / 15.2 GB | 40972 | 1 |
| Qwen2 7B Instruct V0.3 | 128K / 15.2 GB | 40943 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Replete-AI/Replete-LLM-V2.5-Qwen-7b .
Rank the Replete LLM V2.5 Qwen 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803