Arxiv:2402.15506 Autotrain compatible Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow
XLAM V0.1 R Benchmarks
ARC: 67.58 vs 96.7 (so35)-30.1%
HellaSwag: 84.59 vs 95.3 (gpt4)-11.2%
MMLU: 69.95 vs 88.3 (so35)-20.8%
TruthfulQA: 57.77 vs 59 (gpt4)-2.1%
WinoGrande: 80.98 vs 87.5 (gpt4)-7.5%
GSM8K: 58.38 vs 96.4 (so35)-39.4%
LLME Score: 0.23372
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)
XLAM V0.1 R Parameters and Internals
| LLM Name | XLAM V0.1 R |
| Repository 🤗 | https://huggingface.co/Salesforce/xLAM-v0.1-r |
| Model Size | 46.7b |
| Required VRAM | 93.6 GB |
| Updated | 2024-09-07 |
| Maintainer | Salesforce |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to XLAM V0.1 R
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7B Instruct V0.1 | 32K / 93.6 GB | 651236 | 3978 |
| ...rkrautLM Mixtral 8x7B Instruct | 32K / 93.6 GB | 83604 | 21 |
| Merge Mixtral Prometheus 8x7B | 32K / 91.9 GB | 24 | 2 |
| Dolphin 2.5 Mixtral 8x7b | 32K / 93.6 GB | 4666 | 1199 |
| Notux 8x7b V1 | 32K / 93.6 GB | 47 | 165 |
| BagelMIsteryTour V2 8x7B | 32K / 93.5 GB | 72 | 16 |
| Karakuri Lm 8x7b Instruct V0.1 | 32K / 93.6 GB | 680 | 17 |
| Autotrain Xva0j Mixtral8x7b | 32K / 93.6 GB | 57 | 0 |
| Mixtral 8x7B Instruct V0.1 FP8 | 32K / 47.1 GB | 339 | 2 |
| Firefunction V1 | 32K / 93.6 GB | 450 | 121 |
Note: green Score (e.g. "73.2") means that the model is better than Salesforce/xLAM-v0.1-r .
Rank the XLAM V0.1 R Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803