Base model:adapter:tinyllama/t... Base model:tinyllama/tinyllama... Endpoints compatible Generated from trainer Gguf Llama Peft Pytorch Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TristanBehrens/bachinstruct
Bachinstruct Benchmarks
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)
Bachinstruct Parameters and Internals
| Model Type |
| |||||||||
| Training Details |
|
| LLM Name | Bachinstruct |
| Repository 🤗 | https://huggingface.co/TristanBehrens/bachinstruct |
| Base Model(s) | |
| Model Size | 1.1b |
| Required VRAM | 0.4 GB |
| Updated | 2025-03-13 |
| Maintainer | TristanBehrens |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Bachinstruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| TinyllamaMix 1.1B | 32K / 2.2 GB | 188 | 2 |
| Palmer 004 2406 | 32K / 2.2 GB | 574 | 0 |
| Palmer 004 | 32K / 2.2 GB | 197 | 1 |
| TinyLlama 1.1B 32K GGUF | 32K / 0.5 GB | 69 | 0 |
| Tinyllama Coder Py V13 | 4K / 0.7 GB | 175 | 0 |
| Tinyllama Coder Py V12 | 4K / 0.7 GB | 217 | 0 |
| Tinyllama Coder Py 4bit V10 | 4K / 0.7 GB | 248 | 0 |
| Tinyllama Coder Py 4bit V3 | 4K / 1.2 GB | 42 | 0 |
| Tinyllama Coder Py 4bit V4 | 4K / 1.2 GB | 27 | 0 |
| ...llama PY CODER 4bit Lora 4k V5 | 4K / 0.7 GB | 54 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TristanBehrens/bachinstruct .
Rank the Bachinstruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227