初始化项目,由ModelHub XC社区提供模型

Model: michka/Melenchon-Nemo-12B
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-10-27 23:46:18 +08:00
commit eae0f19d9f
53 changed files with 18519 additions and 0 deletions

202
checkpoint-240/README.md Normal file
View File

@@ -0,0 +1,202 @@
---
base_model: mistralai/Mistral-Nemo-Instruct-2407
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.14.0

View File

@@ -0,0 +1,37 @@
{
"alpha_pattern": {},
"auto_mapping": null,
"base_model_name_or_path": "mistralai/Mistral-Nemo-Instruct-2407",
"bias": "none",
"eva_config": null,
"exclude_modules": null,
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layer_replication": null,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 32,
"lora_bias": false,
"lora_dropout": 0,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": null,
"peft_type": "LORA",
"r": 16,
"rank_pattern": {},
"revision": null,
"target_modules": [
"down_proj",
"q_proj",
"v_proj",
"o_proj",
"up_proj",
"gate_proj",
"k_proj"
],
"task_type": "CAUSAL_LM",
"use_dora": false,
"use_rslora": false
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5354b597b8bdacee62383e797ff2a33a52ead8e3100b3375180301945c1c6c93
size 228140600

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fdc82f6f780d45e9e605515073292ab1c9d2d5380fba6c01df0199132892ee19
size 116477972

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2b66e3cc7c452b707ddac5caf0aa17618afb9bc1a0333600a22c4afb353f3165
size 14244

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b1fa5ed376875b3c91684798a9714d02dce98e18cdbaac1db88006466ca51565
size 1064

View File

@@ -0,0 +1,24 @@
{
"bos_token": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": "</s>",
"unk_token": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
size 17078292

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,209 @@
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 240,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.041666666666666664,
"grad_norm": 3.5982143878936768,
"learning_rate": 0.0002,
"loss": 7.626,
"step": 10
},
{
"epoch": 0.08333333333333333,
"grad_norm": 2.8034327030181885,
"learning_rate": 0.00019906859460363307,
"loss": 3.236,
"step": 20
},
{
"epoch": 0.125,
"grad_norm": 1.4735996723175049,
"learning_rate": 0.00019629172873477995,
"loss": 1.555,
"step": 30
},
{
"epoch": 0.16666666666666666,
"grad_norm": 1.259310007095337,
"learning_rate": 0.00019172113015054532,
"loss": 1.5749,
"step": 40
},
{
"epoch": 0.20833333333333334,
"grad_norm": 1.0123932361602783,
"learning_rate": 0.00018544194045464886,
"loss": 1.5026,
"step": 50
},
{
"epoch": 0.25,
"grad_norm": 0.8011332750320435,
"learning_rate": 0.000177571129070442,
"loss": 1.3026,
"step": 60
},
{
"epoch": 0.2916666666666667,
"grad_norm": 0.9434933066368103,
"learning_rate": 0.00016825531432186543,
"loss": 1.3517,
"step": 70
},
{
"epoch": 0.3333333333333333,
"grad_norm": 0.6396370530128479,
"learning_rate": 0.00015766803221148673,
"loss": 1.4123,
"step": 80
},
{
"epoch": 0.375,
"grad_norm": 1.062090277671814,
"learning_rate": 0.00014600650377311522,
"loss": 1.3411,
"step": 90
},
{
"epoch": 0.4166666666666667,
"grad_norm": 0.515396237373352,
"learning_rate": 0.00013348796121709862,
"loss": 1.319,
"step": 100
},
{
"epoch": 0.4583333333333333,
"grad_norm": 0.5104358792304993,
"learning_rate": 0.0001203456013052634,
"loss": 1.2435,
"step": 110
},
{
"epoch": 0.5,
"grad_norm": 0.8905439972877502,
"learning_rate": 0.0001068242413364671,
"loss": 1.3519,
"step": 120
},
{
"epoch": 0.5416666666666666,
"grad_norm": 0.6107117533683777,
"learning_rate": 9.317575866353292e-05,
"loss": 1.3462,
"step": 130
},
{
"epoch": 0.5833333333333334,
"grad_norm": 0.8154811263084412,
"learning_rate": 7.965439869473664e-05,
"loss": 1.3592,
"step": 140
},
{
"epoch": 0.625,
"grad_norm": 0.5068439245223999,
"learning_rate": 6.651203878290139e-05,
"loss": 1.273,
"step": 150
},
{
"epoch": 0.6666666666666666,
"grad_norm": 0.5794748663902283,
"learning_rate": 5.399349622688479e-05,
"loss": 1.2561,
"step": 160
},
{
"epoch": 0.7083333333333334,
"grad_norm": 0.4536129832267761,
"learning_rate": 4.2331967788513295e-05,
"loss": 1.2155,
"step": 170
},
{
"epoch": 0.75,
"grad_norm": 0.44865843653678894,
"learning_rate": 3.174468567813461e-05,
"loss": 1.2809,
"step": 180
},
{
"epoch": 0.7916666666666666,
"grad_norm": 0.49808937311172485,
"learning_rate": 2.242887092955801e-05,
"loss": 1.2845,
"step": 190
},
{
"epoch": 0.8333333333333334,
"grad_norm": 0.4432452917098999,
"learning_rate": 1.4558059545351143e-05,
"loss": 1.3265,
"step": 200
},
{
"epoch": 0.875,
"grad_norm": 0.5799461007118225,
"learning_rate": 8.278869849454718e-06,
"loss": 1.3288,
"step": 210
},
{
"epoch": 0.9166666666666666,
"grad_norm": 1.042983055114746,
"learning_rate": 3.7082712652200867e-06,
"loss": 1.2647,
"step": 220
},
{
"epoch": 0.9583333333333334,
"grad_norm": 0.45813554525375366,
"learning_rate": 9.314053963669245e-07,
"loss": 1.3007,
"step": 230
},
{
"epoch": 1.0,
"grad_norm": 0.6868065595626831,
"learning_rate": 0.0,
"loss": 1.2434,
"step": 240
},
{
"epoch": 1.0,
"eval_loss": 0.30000853538513184,
"eval_runtime": 2.6802,
"eval_samples_per_second": 3.358,
"eval_steps_per_second": 0.746,
"step": 240
}
],
"logging_steps": 10,
"max_steps": 240,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.372368282845184e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:052d2fdef35f5f47baf840551997a1f2893974d7ddc261365f9899a8be2e5b5a
size 5688