4-bit Base model:quantized:walmart-t... Base model:walmart-the-bag/zep... Causal lm Conversational Custom code Dataset:teknium/openhermes Feature-extraction Gptq Quantized Region:us Safetensors Stablelm epoch
Zephyr Quiklang 3B 4K 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)
Zephyr Quiklang 3B 4K GPTQ Parameters and Internals
| LLM Name | Zephyr Quiklang 3B 4K GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/zephyr-quiklang-3b-4K-GPTQ |
| Model Name | Zephyr Quiklang 3B 4K |
| Model Creator | wbag |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 1.8 GB |
| Updated | 2024-09-19 |
| Maintainer | TheBloke |
| Model Type | stablelm_epoch |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | StableLMEpochForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50304 |
| Torch Data Type | float16 |
Best Alternatives to Zephyr Quiklang 3B 4K GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Stable Code 3B GPTQ | 16K / 1.8 GB | 24 | 12 |
| Zephyr Quiklang 3B GPTQ | 4K / 1.8 GB | 9 | 1 |
| Stablelm Zephyr 3B GPTQ | 4K / 1.8 GB | 29 | 12 |
| Dopeystableplats 3B V1 GPTQ | 4K / 1.8 GB | 9 | 0 |
| ...ling Stable Lm 3B 4e1t V0 GPTQ | 4K / 1.8 GB | 8 | 1 |
| Rocket 3B GPTQ | 4K / 1.8 GB | 23 | 0 |
| Nous Capybara 3B V1.9 GPTQ | 4K / 1.8 GB | 8 | 8 |
| Marx 3B V3 GPTQ | 4K / 1.8 GB | 13 | 2 |
| Akins 3B GPTQ | 4K / 1.8 GB | 12 | 2 |
| Stable Code 3B Mlx | 16K / 5.6 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/zephyr-quiklang-3b-4K-GPTQ .
Rank the Zephyr Quiklang 3B 4K GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803