Autotrain compatible Dataset:mistralai/mistral-7b-i... En Endpoints compatible Gguf Instruct Mistral Q4 Quantized Region:us Sharded Tensorflow
Candle Mistral 7B Instruct V0.2 Benchmarks
LMSys ELO: 1072 vs 1272 (so35)-15.7%
ARC: 63.14 vs 96.7 (so35)-34.7%
HellaSwag: 84.88 vs 95.3 (gpt4)-10.9%
MMLU: 60.78 vs 88.3 (so35)-31.2%
TruthfulQA: 68.26 vs 59 (gpt4)15.7%
WinoGrande: 77.19 vs 87.5 (gpt4)-11.8%
GSM8K: 40.03 vs 96.4 (so35)-58.5%
LLME Score: 0.27648
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)
Candle Mistral 7B Instruct V0.2 Parameters and Internals
| LLM Name | Candle Mistral 7B Instruct V0.2 |
| Repository 🤗 | https://huggingface.co/DanielClough/Candle_Mistral-7B-Instruct-v0.2 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-11-21 |
| Maintainer | DanielClough |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | q4|gguf |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0 |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Candle Mistral 7B Instruct V0.2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 10 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 53 | 2 |
| BioMistralMerged | 32K / 14.4 GB | 3903 | 0 |
| Tamil Mistral 7B Instruct V0.1 | 32K / 14.8 GB | 551 | 13 |
| ...stral 7B V0.3 Chinese Chat F16 | 32K / 14.5 GB | 634 | 1 |
| ...tral 7B V0.3 Chinese Chat 4bit | 32K / 4.1 GB | 227 | 1 |
| Mistral 7B Instruct V0.3 GGUF | 32K / 2.7 GB | 93 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 32K / 2.7 GB | 49 | 0 |
| ...tral 7B V0.3 Chinese Chat 8bit | 32K / 7.7 GB | 16 | 3 |
| ...7B Instruct V0.2 SFT Local 276 | 32K / 14.4 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_Mistral-7B-Instruct-v0.2 .
Rank the Candle Mistral 7B Instruct V0.2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110