| LLM Name | SC 16bit Merged Ready Final Finetuned Model | 
| Repository ๐ค | https://huggingface.co/LobnaSellami7/SC_16bit_merged_ready_final_finetuned_model | 
| Base Model(s) | |
| Merged Model | Yes | 
| Model Size | 8b | 
| Required VRAM | 16.1 GB | 
| Updated | 2025-07-24 | 
| Maintainer | LobnaSellami7 | 
| Model Type | llama | 
| Instruction-Based | Yes | 
| Model Files | |
| Supported Languages | en | 
| Quantization Type | 4bit | 
| Model Architecture | LlamaForCausalLM | 
| License | apache-2.0 | 
| Context Length | 131072 | 
| Model Max Length | 131072 | 
| Transformers Version | 4.44.1 | 
| Tokenizer Class | PreTrainedTokenizerFast | 
| Padding Token | <|finetune_right_pad_id|> | 
| Vocabulary Size | 128256 | 
| Torch Data Type | bfloat16 | 
| Best Alternatives | Context / RAM | Downloads | Likes | 
|---|---|---|---|
| ...B Instruct Gradient 1048K 4bit | 1024K / 4.5 GB | 6 | 2 | 
| ...B Instruct Gradient 1048K 8bit | 1024K / 8.6 GB | 6 | 1 | 
| ...truct Gradient 1048K Bpw6 EXL2 | 1024K / 6.7 GB | 10 | 2 | 
| ...truct Gradient 1048K Bpw5 EXL2 | 1024K / 5.8 GB | 6 | 0 | 
| Llama 3 8B Instruct 1048K 4bit | 1024K / 4.5 GB | 172 | 25 | 
| Llama 3 8B Instruct 1048K 8bit | 1024K / 8.6 GB | 104 | 17 | 
| ... Gradient 1048K 8.0bpw H8 EXL2 | 1024K / 8.6 GB | 10 | 3 | 
| ...ct Gradient 1048K Bpw2.25 EXL2 | 1024K / 3.4 GB | 3 | 1 | 
| Llama 3 8B Instruct 262K 2bit | 256K / 2.5 GB | 7 | 1 | 
| ...B Instruct 262k V2 EXL2 5.0bpw | 256K / 5.8 GB | 6 | 1 | 
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