4-bit 4bit Autotrain compatible Conversational Custom code Deci Gptq Instruct Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/harpreetsahota/DeciLM-7B-Instruct-gptq-4bit-slim-orca
DeciLM 7B Instruct Gptq 4bit Slim Orca 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)
DeciLM 7B Instruct Gptq 4bit Slim Orca Parameters and Internals
| LLM Name | DeciLM 7B Instruct Gptq 4bit Slim Orca |
| Repository 🤗 | https://huggingface.co/harpreetsahota/DeciLM-7B-Instruct-gptq-4bit-slim-orca |
| Model Size | 7b |
| Required VRAM | 4.1 GB |
| Updated | 2025-08-19 |
| Maintainer | harpreetsahota |
| Model Type | deci |
| Instruction-Based | Yes |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | DeciLMForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to DeciLM 7B Instruct Gptq 4bit Slim Orca
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct Gptq 2bit Slim Orca | 8K / 2.4 GB | 5 | 1 |
| DeciLM 7B Instruct 128K | 128K / 14.1 GB | 4 | 3 |
| DeciLM 7B Instruct 32K | 32K / 14.1 GB | 8 | 3 |
| DeciLM 7B Instruct | 8K / 14.1 GB | 2615 | 95 |
| DeciLM 7B Instruct GGUF | 8K / 7.5 GB | 81 | 39 |
Note: green Score (e.g. "73.2") means that the model is better than harpreetsahota/DeciLM-7B-Instruct-gptq-4bit-slim-orca .
Rank the DeciLM 7B Instruct Gptq 4bit Slim Orca Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124