Autotrain compatible Conversational Endpoints compatible Gguf Llama Model-index Quantized Region:us Safetensors
TinyLlama 3T Cinder V1.3 Benchmarks
ARC: 33.96-64.7%
HellaSwag: 58.14-39%
MMLU: 25.41-70.6%
TruthfulQA: 38.13-35.4%
WinoGrande: 63.93-26.9%
GSM8K: 3.79-95.9%
nn.n% — How the model compares to the GPT-4.
TinyLlama 3T Cinder V1.3 Parameters and Internals
| LLM Name | TinyLlama 3T Cinder V1.3 |
| Repository | Open on 🤗 |
| Model Size | 1.1b |
| Required VRAM | 1.2 GB |
| Updated | 2024-07-27 |
| Maintainer | Josephgflowers |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to TinyLlama 3T Cinder V1.3
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Palmer 004 2406 | 0.3 | 32K / 2.2 GB | 574 | 0 |
| TinyllamaMix 1.1B | 0.3 | 32K / 2.2 GB | 362 | 2 |
| Palmer 004 | 0.2 | 32K / 2.2 GB | 71 | 0 |
| TinyLlama 1.1B 32K GGUF | 0.2 | 32K / 0.5 GB | 96 | 0 |
| Tinyllama Coder Py V13 | 0.3 | 4K / 0.7 GB | 121 | 0 |
| Tinyllama Coder Py V12 | 0.3 | 4K / 0.7 GB | 129 | 0 |
| Tinyllama Coder Py 4bit V10 | 0.3 | 4K / 0.7 GB | 128 | 0 |
| Tinyllama Coder Py 4bit V3 | 0.3 | 4K / 1.2 GB | 114 | 0 |
| TiamaPY V37 | 0.3 | 4K / 2.2 GB | 642 | 0 |
| TiamaPY V36 | 0.3 | 4K / 2.2 GB | 51 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/TinyLlama-3T-Cinder-v1.3 .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501