4bit Autotrain compatible Base model:deci/decilm-7b Base model:finetune:deci/decil... Conversational Custom code Deci Deci lm En Finetuned Gptq Quantized Region:us Vllm
Model Card on HF 🤗: https://huggingface.co/Inferless/deciLM-7B-GPTQ
DeciLM 7B GPTQ 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 GPTQ Parameters and Internals
| Model Type |
| |||||||||
| Input Output |
|
| LLM Name | DeciLM 7B GPTQ |
| Repository 🤗 | https://huggingface.co/Inferless/deciLM-7B-GPTQ |
| Model Name | DeciLM-7B |
| Model Creator | Deci |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.1 GB |
| Updated | 2025-08-20 |
| Maintainer | Inferless |
| Model Type | deci_lm |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | DeciLMForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to DeciLM 7B GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct Gptq 4bit Slim Orca | 8K / 4.1 GB | 7 | 1 |
| ...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 | 8K / 14.1 GB | 4987 | 225 |
| DeciLM 7B Instruct | 8K / 14.1 GB | 2553 | 95 |
| DeciLM 7B Instruct GGUF | 8K / 7.5 GB | 80 | 39 |
| DeciLM Base ChatTuned Blogv0.2 | 8K / 14.1 GB | 6 | 1 |
| M12 | 8K / 14.1 GB | 7 | 0 |
| M11 | 8K / 14.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Inferless/deciLM-7B-GPTQ .
Rank the DeciLM 7B GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124