4-bit Autotrain compatible Awq Conversational En Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Zh
Breeze 7B 32K Instruct V1.0 AWQ Benchmarks
ARC: 61.35 vs 96.7 (so35)-36.6%
HellaSwag: 82.59 vs 95.3 (gpt4)-13.3%
MMLU: 62.11 vs 88.3 (so35)-29.7%
TruthfulQA: 53.46 vs 59 (gpt4)-9.4%
WinoGrande: 77.74 vs 87.5 (gpt4)-11.2%
GSM8K: 43.14 vs 96.4 (so35)-55.2%
LLME Score: 0.23179
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)
Breeze 7B 32K Instruct V1.0 AWQ Parameters and Internals
| LLM Name | Breeze 7B 32K Instruct V1.0 AWQ |
| Repository 🤗 | https://huggingface.co/chienweichang/Breeze-7B-32k-Instruct-v1_0-AWQ |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.7 GB |
| Updated | 2024-09-13 |
| Maintainer | chienweichang |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | zh en |
| 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 | 62464 |
| Torch Data Type | float16 |
Best Alternatives to Breeze 7B 32K Instruct V1.0 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 6 | 0 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 1625 | 2 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 48071 | 41 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 130 | 0 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 5 | 0 |
| Mistral 7B Instruct V0.1 AWQ | 32K / 4.2 GB | 42926 | 35 |
| ...Instruct V0.2 AWQ 4bit Smashed | 32K / 4.2 GB | 2 | 1 |
| Mistral 7B Instruct 32K AWQ | 32K / 4.2 GB | 21 | 1 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 35 | 1 |
| ...tral 7B Instruct V0.3 AWQ 4Bit | 32K / 4.2 GB | 24 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than chienweichang/Breeze-7B-32k-Instruct-v1_0-AWQ .
Rank the Breeze 7B 32K Instruct V1.0 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803