4bit Autotrain compatible Base model:mistralai/mistral-7... Conversational Dataset:neuralnovel/neural-sto... En Gptq Instruct License:apache-2.0 Mistral Quantized Region:us Safetensors
Rank the Mistral 7B Instruct V0.2 Neural Story GPTQ Capabilities
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Best Alternatives to Mistral 7B Instruct V0.2 Neural Story GPTQ
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Mistral 7B Instruct V0.1 | 62.23 | 32K / 14.4 GB | 401386 | 1465 |
| Mistral 7B Instruct V0.1 GPTQ | 54.6 | 32K / 4.2 GB | 341498 | 73 |
| Mistral 7B Instruct V0.1 GPTQ | 54.6 | 32K / 4.2 GB | 4 | 1 |
| Mistral 7B Instruct V0.1 GGUF | 54.6 | 32K / 2.7 GB | 381 | 2 |
| Mistral 7B Instruct V0.1 AWQ | 54.6 | 32K / 4.2 GB | 8078 | 35 |
| Mistral 7B Instruct V0.1 AWQ | 54.6 | 32K / 4.2 GB | 3 | 1 |
| Mixtral Chat 7b | 54.6 | 32K / 7.7 GB | 27 | 1 |
| Mixtral AI 7b | 54.6 | 32K / 7.7 GB | 22 | 0 |
| Mistral 7B Instruct V0.2 GPTQ | — | 32K / 4.2 GB | 19187 | 41 |
| ...ral 7B Instruct V0.3 GPTQ 4bit | — | 32K / 4.2 GB | 2512 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Mistral-7B-Instruct-v0.2-Neural-Story-GPTQ .
Mistral 7B Instruct V0.2 Neural Story GPTQ Parameters and Internals
| LLM Name | Mistral 7B Instruct V0.2 Neural Story GPTQ |
| Repository | Open on 🤗 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.6 GB |
| Updated | 2024-07-05 |
| Maintainer | LoneStriker |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Initializer Range | 0.02 |
| Torch Data Type | float16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801