Autotrain compatible Base model:finetune:jackfram/l... Base model:jackfram/llama-160m Conversational Dataset:databricks/databricks-... Dataset:ehartford/wizard vicun... Dataset:open-orca/slimorca-ded... Dataset:thudm/webglm-qa Dataset:totally-not-an-llm/eve... En Endpoints compatible Llama Model-index Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Felladrin/Llama-160M-Chat-v1
Llama 160M Chat V1 Benchmarks
MMLU Pro: 1.51
GPQA: 1.01
MUSR: 3.17
BBH: 3.17
IFEval: 15.75 vs 88 (so35)-82.1%
ARC: 24.74 vs 96.7 (so35)-74.4%
HellaSwag: 35.32 vs 95.3 (gpt4)-62.9%
MMLU: 26.14 vs 88.3 (so35)-70.4%
TruthfulQA: 44.16 vs 59 (gpt4)-25.2%
WinoGrande: 51.3 vs 87.5 (gpt4)-41.4%
LLME Score: 0.22492
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)
Llama 160M Chat V1 Parameters and Internals
| LLM Name | Llama 160M Chat V1 |
| Repository 🤗 | https://huggingface.co/Felladrin/Llama-160M-Chat-v1 |
| Base Model(s) | |
| Model Size | 160m |
| Required VRAM | 0.7 GB |
| Updated | 2025-02-05 |
| Maintainer | Felladrin |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Llama 160M Chat V1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 160M | 2K / 0 GB | 214699 | 34 |
| Doctor Llama 160M | 2K / 0 GB | 18 | 0 |
| TeenyTinyLlama Doc 160M | 2K / 0 GB | 10 | 0 |
| Vicuna 160M | 2K / 0.7 GB | 15102 | 0 |
| TeenyTinyLlama 160M | 2K / 0.7 GB | 1310 | 6 |
| Vicuna 160M | 2K / 0.7 GB | 222 | 3 |
| Onnx Llama 160M Chat V1 | 2K / GB | 180 | 1 |
| Spider Llama 160M | 2K / 0.7 GB | 127 | 0 |
| Llama 160M Base | 2K / 0 GB | 22 | 0 |
| Full Vicuna 160M | 2K / 0.7 GB | 148 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Felladrin/Llama-160M-Chat-v1 .
Rank the Llama 160M Chat V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227