Model Card on HF 🤗: https://huggingface.co/ImagineIt/Alpha-merged-gptq
Alpha Merged 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)
Alpha Merged Gptq Parameters and Internals
| LLM Name | Alpha Merged Gptq |
| Repository 🤗 | https://huggingface.co/ImagineIt/Alpha-merged-gptq |
| Merged Model | Yes |
| Required VRAM | 9.2 GB |
| Updated | 2024-12-22 |
| Maintainer | ImagineIt |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|8bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 20000 |
| Model Max Length | 20000 |
| Transformers Version | 4.40.2 |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Alpha Merged Gptq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LWM Text Chat 512K GPTQ | 512K / 4.3 GB | 9 | 2 |
| LWM Text Chat 256K GPTQ | 256K / 4.3 GB | 7 | 1 |
| LWM Text Chat 128K GPTQ | 128K / 4.3 GB | 9 | 1 |
| StoryTeller10.7B GPTQ 4Bit | 41K / 6.6 GB | 7 | 0 |
| ...lama 3 Lima Nsfw 16K Test GPTQ | 16K / 5.7 GB | 45 | 5 |
| V3 Gptq | 4K / 6.1 GB | 13 | 0 |
| Taiwan LLaMa V1.0 4bits GPTQ | 4K / 7.3 GB | 12 | 1 |
| MythoMax22b Falseblock GPT | 4K / 12 GB | 10 | 0 |
| Taiwan LLaMa V1.0 4bits GPTQ | 4K / 7.3 GB | 15 | 9 |
| Nous Hermes Llama2 8bit GPTQ | 4K / 13.7 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ImagineIt/Alpha-merged-gptq .
Rank the Alpha Merged Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217