Merged Model 4-bit Autotrain compatible Awq Dataset:hotchpotch/jaqket v1 q... Instruct Ja Llama Quantized Region:us Safetensors
Youri 7B Sft Qa Context Jaqket AWQ 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)
Youri 7B Sft Qa Context Jaqket AWQ Parameters and Internals
| LLM Name | Youri 7B Sft Qa Context Jaqket AWQ |
| Repository 🤗 | https://huggingface.co/hotchpotch/youri-7b-sft-qa-context-jaqket-awq |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 3.9 GB |
| Updated | 2024-09-16 |
| Maintainer | hotchpotch |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ja |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Youri 7B Sft Qa Context Jaqket AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 2 7B 32K Instruct AWQ | 32K / 3.9 GB | 23 | 2 |
| ...eechless Tora Code 7B V1.0 AWQ | 16K / 3.9 GB | 8 | 1 |
| CodeLlama 7B Instruct AWQ | 16K / 3.9 GB | 81 | 4 |
| ...ama 7B Instruct Hf W4 G128 AWQ | 16K / 3.9 GB | 5 | 0 |
| CausalLM 7B AWQ | 8K / 5.8 GB | 12 | 3 |
| ...essianai 7B Chat Bilingual AWQ | 8K / 3.9 GB | 8 | 2 |
| Leo Hessianai 7B Chat AWQ | 8K / 3.9 GB | 5 | 1 |
| ...epseek Math 7B Instruct AWQ Q4 | 4K / 4.8 GB | 5 | 0 |
| Llama 2 7B Ft Instruct Es AWQ | 4K / 3.9 GB | 7 | 1 |
| Swallow 7B Instruct AWQ | 4K / 4.1 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than hotchpotch/youri-7b-sft-qa-context-jaqket-awq .
Rank the Youri 7B Sft Qa Context Jaqket AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803