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Model: DevQuasar/llama3_8b_chat_brainstorm-v2.1
Source: Original Platform

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README.md

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+---
+license: llama3
+datasets:
+- DevQuasar/brainstorm-v2.1_vicuna_1k
+base_model: meta-llama/Meta-Llama-3-8B
+pipeline_tag: text-generation
+model_context_window: 8192
+---
+[<img src="https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png" width="200"/>](https://devquasar.com)
+
+'Make knowledge free for everyone'
+
+<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
+
+# Brainstorm-v2.1
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e6d37e02dee9bcb9d9fa18/sGo1r3ShaLDvVs_fwhmbb.png)
+
+# Model intention
+Brainstorm facilitates idea exploration through interaction with a Language Model (LLM). 
+Rather than providing direct answers, the model engages in a dialogue with users, offering 
+probing questions aimed at fostering deeper contemplation and consideration of various 
+facets of their ideas. Model can summarize the discussed ideas in Markdown format.
+
+## Examples
+
+### Inference code
+https://github.com/csabakecskemeti/ai_utils/blob/main/brainstorm_inference.py
+
+### Example generations
+[USER] (Ctrl+C to exit):
+I'd like to organize my vintage computer collection
+
+[CHAT]: That sounds like a great idea! What kind of organization system are you thinking of using?
+
+[USER] (Ctrl+C to exit):
+Make it sure that they are available for use any time, but I don't want to see all the cables hanging around
+
+[CHAT]: So you want to make it easy to access and tidy up the cables. Have you considered using a cable management system or tying up loose ends with ribbon cutters?
+
+
+[USER] (Ctrl+C to exit):
+That makes sense
+
+[CHAT]: What about labeling each device so you can find what you need quickly?
+
+[USER] (Ctrl+C to exit):
+Can you please summaryze what we've been talked so far?
+
+[CHAT]: Here's a summary:
+
+**Organizing Vintage Computer Collection**
+===============================
+
+* Make sure devices are easily accessible for use
+* Tidy up cables using a cable management system or ribbon cutters
+* Label each device to find it quickly
+
+Let me know if you'd like to add or modify anything!
+
+[USER] (Ctrl+C to exit):
+Ok let's continue: I also want to use a single monoytor an pheripherias for all computer
+
+[CHAT]: That could get expensive fast. Are you thinking of using a hub or a switch? Or maybe something more sophisticated like a KVM switch?
+
+[USER] (Ctrl+C to exit):
+yest that's make sense, can you please add it to the summary?
+
+[CHAT]: Here's the updated summary:
+
+**Organizing Vintage Computer Collection**
+===============================
+
+* Make sure devices are easily accessible for use
+* Tidy up cables using a cable management system or ribbon cutters
+* Label each device to find it quickly
+* Use a single monitor and peripherals for all computers (hub, switch, KVM switch)
+
+Let me know if there's anything else you'd like to add or change!
+
+[USER] (Ctrl+C to exit):
+I also want to protect them from dust, not sure how to do that 
+
+[CHAT]: For protecting against dust, one option could be using enclosures or cabinets. Another approach might be setting up a dedicated workspace with appropriate ventilation. Which of these ideas resonates with you?
+

config.json

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+{
+  "_name_or_path": "meta-llama/Meta-Llama-3-8B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.40.1"
+}

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special_tokens_map.json

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