Autotrain compatible Bilingual Conversational Dataset:aaditya/orca dpo pairs... Dataset:sarvamai/samvaad-hi-v1 En Endpoints compatible English Hi Hindi Llama Region:us Safetensors Sharded Tensorflow
Gaja V2.00 DPO Benchmarks
ARC: 51.71 vs 96.7 (so35)-46.5%
HellaSwag: 75.87 vs 95.3 (gpt4)-20.4%
MMLU: 40.79 vs 88.3 (so35)-53.8%
TruthfulQA: 41.29 vs 59 (gpt4)-30%
WinoGrande: 71.59 vs 87.5 (gpt4)-18.2%
GSM8K: 0.23 vs 96.4 (so35)-99.8%
LLME Score: 0.22557
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)
Gaja V2.00 DPO Parameters and Internals
| LLM Name | Gaja V2.00 DPO |
| Repository 🤗 | https://huggingface.co/damerajee/Gaja-v2.00-dpo |
| Model Size | 6.9b |
| Required VRAM | 13.9 GB |
| Updated | 2024-10-17 |
| Maintainer | damerajee |
| Model Type | llama |
| Model Files | |
| Supported Languages | en hi |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 48064 |
| Torch Data Type | float16 |
Best Alternatives to Gaja V2.00 DPO
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Bolna Lead Qualification | 16K / 13.8 GB | 3 | 3 |
| Fiufiu 71 | 4K / 13.8 GB | 673 | 0 |
| Fiufiu 87 | 4K / 13.8 GB | 501 | 0 |
| Sn37 V3 | 4K / 13.8 GB | 417 | 0 |
| Sn37 V5 | 4K / 13.8 GB | 319 | 0 |
| Happymeow | 4K / 13.8 GB | 3167 | 0 |
| SambaLingo Thai Chat | 4K / 13.9 GB | 558 | 36 |
| Subnet9key16 | 4K / 13.8 GB | 3225 | 0 |
| Nine Aa | 4K / 13.8 GB | 286 | 0 |
| Jw2 | 4K / 13.8 GB | 430 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than damerajee/Gaja-v2.00-dpo .
Rank the Gaja V2.00 DPO Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803