4bit Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-... Conversational En Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Mistral Rank32 Invert Benchmarks
ARC: 55.72 vs 96.7 (so35)-42.4%
HellaSwag: 81.2 vs 95.3 (gpt4)-14.8%
MMLU: 59.88 vs 88.3 (so35)-32.2%
TruthfulQA: 56.18 vs 59 (gpt4)-4.8%
WinoGrande: 76.95 vs 87.5 (gpt4)-12.1%
GSM8K: 35.18 vs 96.4 (so35)-63.5%
LLME Score: 0.21979
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)
Mistral Rank32 Invert Parameters and Internals
| LLM Name | Mistral Rank32 Invert |
| Repository 🤗 | https://huggingface.co/chatty123/mistral_rank32_invert |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-18 |
| Maintainer | chatty123 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral Rank32 Invert
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...al Nemo Instruct 2407 Bnb 4bit | 1000K / 8.3 GB | 21809 | 22 |
| ...tral 7B Instruct V0.3 Bnb 4bit | 32K / 4.1 GB | 75229 | 14 |
| Mistral 7B Instruct V0.2 Fp16 | 32K / 14.4 GB | 5 | 0 |
| Mistral 7B Instruct V0.2 4bit | 32K / 4.3 GB | 355 | 1 |
| Mistral 7B V0.3 Bnb 4bit | 32K / 4.1 GB | 13516 | 11 |
| ...tral 7B Instruct V0.2 Bnb 4bit | 32K / 4.1 GB | 10045 | 31 |
| Mistral 7B Instruct V0.2 8bit | 32K / 7.6 GB | 6 | 1 |
| Mistral Turkish V2 | 32K / 14.4 GB | 3215 | 6 |
| Minirewrite | 32K / 15.8 GB | 5 | 0 |
| Mistral7B MatheoAI8 Lora | 32K / 14.4 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than chatty123/mistral_rank32_invert .
Rank the Mistral Rank32 Invert Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803