4-bit Autotrain compatible Awq Conversational Endpoints compatible Instruct Mixtral Quantized Region:us Safetensors Sharded Tensorflow
Casperhansen Mixtral Instruct AWQ Clone Dec23 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)
Casperhansen Mixtral Instruct AWQ Clone Dec23 Parameters and Internals
| LLM Name | Casperhansen Mixtral Instruct AWQ Clone Dec23 |
| Repository 🤗 | https://huggingface.co/JAdeojo/casperhansen-mixtral-instruct-awq-clone-dec23 |
| Model Size | 6.5b |
| Required VRAM | 24.7 GB |
| Updated | 2024-09-29 |
| Maintainer | JAdeojo |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Casperhansen Mixtral Instruct AWQ Clone Dec23
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral Instruct AWQ | 32K / 24.7 GB | 84399 | 42 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 20484 | 15 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 5387 | 57 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 70 | 0 |
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 2925 | 20 |
| ...0.1 LimaRP ZLoss DARE TIES AWQ | 32K / 24.7 GB | 397 | 3 |
| ...ixtral Instruct 8x7b Zloss AWQ | 32K / 24.7 GB | 64 | 2 |
| ...utLM Mixtral 8x7B Instruct AWQ | 32K / 24.7 GB | 130 | 2 |
| ...Instruct V0.1 LimaRP ZLoss AWQ | 32K / 24.7 GB | 10 | 1 |
| Dolphin 2.6 Mixtral 8x7b AWQ | 32K / 24.7 GB | 12 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than JAdeojo/casperhansen-mixtral-instruct-awq-clone-dec23 .
Rank the Casperhansen Mixtral Instruct AWQ Clone Dec23 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803