4-bit Autotrain compatible Awq Conversational Endpoints compatible Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/ChenWeiLi/Taiwan-inquiry_7B_v2.1-awq
Taiwan Inquiry 7B V2.1 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)
Taiwan Inquiry 7B V2.1 AWQ Parameters and Internals
| LLM Name | Taiwan Inquiry 7B V2.1 AWQ |
| Repository 🤗 | https://huggingface.co/ChenWeiLi/Taiwan-inquiry_7B_v2.1-awq |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.6 GB |
| Updated | 2025-02-22 |
| Maintainer | ChenWeiLi |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 61952 |
| Torch Data Type | float16 |
Best Alternatives to Taiwan Inquiry 7B V2.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 79 | 0 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 19746 | 3 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 33496 | 43 |
| Ghost 7B Alpha AWQ | 32K / 4.2 GB | 80 | 0 |
| Mahou 1.3a Mistral 7B AWQ | 32K / 4.2 GB | 80 | 1 |
| Tess 7B V2.0 AWQ | 32K / 4.2 GB | 79 | 1 |
| Mahou 1.3 Mistral 7B AWQ | 32K / 4.2 GB | 87 | 0 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 9 | 0 |
| ...reeze 7B 32K Instruct V1.0 AWQ | 32K / 4.7 GB | 9 | 0 |
| ...Instruct V0.2 AWQ 4bit Smashed | 32K / 4.2 GB | 90 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ChenWeiLi/Taiwan-inquiry_7B_v2.1-awq .
Rank the Taiwan Inquiry 7B V2.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227