16bit Autotrain compatible Base model:cognitivecomputatio... Base model:finetune:cognitivec... Conversational Dataset:dbands/scoredpythonins... En Endpoints compatible Quantized Qwen2 Region:us Safetensors Trl Unsloth
Tantrum 16bit 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)
Tantrum 16bit Parameters and Internals
| LLM Name | Tantrum 16bit |
| Repository 🤗 | https://huggingface.co/dbands/tantrum_16bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2024-10-30 |
| Maintainer | dbands |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 16bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.43.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Tantrum 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Bnb 4bit | 128K / 5.5 GB | 11638 | 1 |
| T14Model4bit | 128K / GB | 143 | 0 |
| Krx Q25 7B Base | 128K / GB | 12 | 0 |
| Qwen2 7B Bnb 4bit | 128K / 5.5 GB | 2059 | 3 |
| Qwen2 7B Matter 0.1 Slim A | 128K / 15.2 GB | 20 | 2 |
| ...lphin 2.9.2 Qwen2 7B Bpw6 EXL2 | 128K / 6.4 GB | 11 | 1 |
| PiSSA Qwen2 7B 4bit R128 5iter | 128K / 5.9 GB | 15 | 0 |
| Qwen2 7B Alpacha Merged 4bit | 128K / 5.6 GB | 7 | 0 |
| Qwen2 7B Alpacha Merged 16bit | 128K / 15.2 GB | 6 | 0 |
| Qwen2 7B 8bit | 128K / 8.1 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than dbands/tantrum_16bit .
Rank the Tantrum 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803