4-bit Autotrain compatible Base model:krishna195/first ed... Base model:quantized:krishna19... Bitsandbytes Conversational En Endpoints compatible Llama Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/krishna195/second_edition
Second Edition 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)
Second Edition Parameters and Internals
| LLM Name | Second Edition |
| Repository 🤗 | https://huggingface.co/krishna195/second_edition |
| Base Model(s) | |
| Model Size | 764.6m |
| Required VRAM | 1 GB |
| Updated | 2025-08-26 |
| Maintainer | krishna195 |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Second Edition
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Hope Forth | 128K / 1 GB | 5 | 0 |
| Hope Second | 128K / 1 GB | 5 | 0 |
| Hope Third | 128K / 1 GB | 5 | 0 |
| Third Edition | 128K / 1 GB | 7 | 0 |
| Fifth Edition | 128K / 1 GB | 7 | 0 |
| Fourth Edition | 128K / 1 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than krishna195/second_edition .
Rank the Second Edition Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124