Autotrain compatible Bilingual Conversational Dataset:sarvamai/samvaad-hi-v1 En Endpoints compatible English Hi Hindi Llama Model-index Region:us Safetensors Sharded Tensorflow
Gaja V2.00 Benchmarks
ARC: 51.79 vs 96.7 (so35)-46.4%
HellaSwag: 75.79 vs 95.3 (gpt4)-20.5%
MMLU: 40.69 vs 88.3 (so35)-53.9%
TruthfulQA: 41.5 vs 59 (gpt4)-29.7%
WinoGrande: 71.9 vs 87.5 (gpt4)-17.8%
GSM8K: 0.23 vs 96.4 (so35)-99.8%
LLME Score: 0.23581
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 Parameters and Internals
| LLM Name | Gaja V2.00 |
| Repository 🤗 | https://huggingface.co/damerajee/Gaja-v2.00 |
| Model Size | 7b |
| Required VRAM | 13.9 GB |
| Updated | 2024-09-07 |
| 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
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 64 | 1 |
| Yarn Llama 2 7B 128K | 128K / 13.5 GB | 535 | 38 |
| LLaMA 7B PoSE YaRN 128K | 128K / 13.5 GB | 18 | 3 |
| LLaMA 7B PoSE Linear 96K | 96K / 27 GB | 8 | 2 |
| LLaMA 7B PoSE YaRN 96K | 96K / 13.5 GB | 9 | 1 |
| Chat Llama2 7B 80K | 80K / 13.8 GB | 8 | 0 |
| Llama2 7B 80K | 80K / 13.8 GB | 8 | 0 |
| Lloma Step400 | 64K / 13.5 GB | 57 | 0 |
| Lloma Step200 | 64K / 13.5 GB | 63 | 0 |
| Lloma Step50 | 64K / 13.5 GB | 59 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than damerajee/Gaja-v2.00 .
Rank the Gaja V2.00 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803