Merged Model Autotrain compatible Conversational Endpoints compatible Not-for-all-audiences Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ChaoticNeutrals/Very_Berry_Qwen2_7B
Very Berry 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").
What is the LLM Explorer Rank (Score)
Very Berry Qwen2 7B Parameters and Internals
| LLM Name | Very Berry Qwen2 7B |
| Repository 🤗 | https://huggingface.co/ChaoticNeutrals/Very_Berry_Qwen2_7B |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-02-22 |
| Maintainer | ChaoticNeutrals |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Very Berry Qwen2 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 289038 | 236 |
| Qwen2.5 7B MixStock V0.1 | 986K / 15.2 GB | 682 | 3 |
| Qwen2.5 7B RRP 1M | 986K / 15.2 GB | 294 | 4 |
| Qwen2.5 7B CelestialHarmony 1M | 986K / 14.8 GB | 153 | 5 |
| Qwen 2.5 7B Exp Sce | 986K / 15.2 GB | 28 | 2 |
| COCO 7B Instruct 1M | 986K / 15.2 GB | 105 | 9 |
| SJT 7B V1.1 | 986K / 14.8 GB | 152 | 1 |
| Q2.5 Instruct 1M Harmony | 986K / 15.2 GB | 61 | 1 |
| Impish QWEN 7B 1M | 986K / 15.2 GB | 70 | 1 |
| Qwen 2.5 7B Deep Stock V5 | 986K / 15.2 GB | 30 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/Very_Berry_Qwen2_7B .
Rank the Very Berry Qwen2 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227