16bit Autotrain compatible Base model:barrahome/mistroll-... Base model:finetune:barrahome/... Conversational En Endpoints compatible Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Mistroll 7B V2.3 NoTsOsm4rt 16bit Benchmarks
ARC: 67.06 vs 96.7 (so35)-30.7%
HellaSwag: 86.24 vs 95.3 (gpt4)-9.5%
MMLU: 65.12 vs 88.3 (so35)-26.3%
TruthfulQA: 56.38 vs 59 (gpt4)-4.4%
WinoGrande: 83.43 vs 87.5 (gpt4)-4.7%
GSM8K: 66.57 vs 96.4 (so35)-30.9%
LLME Score: 0.22592
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)
Mistroll 7B V2.3 NoTsOsm4rt 16bit Parameters and Internals
| LLM Name | Mistroll 7B V2.3 NoTsOsm4rt 16bit |
| Repository 🤗 | https://huggingface.co/BarraHome/Mistroll-7B-v2.3-NoTsOsm4rt-16bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-06 |
| Maintainer | BarraHome |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 16bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistroll 7B V2.3 NoTsOsm4rt 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...istral Nemo Base 2407 Bnb 4bit | 1000K / 8.3 GB | 10697 | 9 |
| ...al Nemo Instruct 2407 Bnb 4bit | 1000K / 8.3 GB | 55348 | 21 |
| ...t 3.5 0106 128K 4.0bpw H6 EXL2 | 128K / 3.9 GB | 30 | 1 |
| ...t 3.5 0106 128K 8.0bpw H8 EXL2 | 128K / 7.4 GB | 11 | 1 |
| Mistral 7B V0.3 Bnb 4bit | 32K / 4.1 GB | 24971 | 12 |
| Mistral 7B Instruct V0.2 4bit | 32K / 4.3 GB | 461 | 1 |
| Mistral 7B Instruct V0.2 Fp16 | 32K / 14.4 GB | 5 | 0 |
| ...tral 7B Instruct V0.3 Bnb 4bit | 32K / 4.1 GB | 56849 | 14 |
| ...tral 7B Instruct V0.2 Bnb 4bit | 32K / 4.1 GB | 16424 | 29 |
| Mistral V0.3 7B ORPO | 32K / 14.5 GB | 80 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than BarraHome/Mistroll-7B-v2.3-NoTsOsm4rt-16bit .
Rank the Mistroll 7B V2.3 NoTsOsm4rt 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803